Elastic Alignment of Triangular Surface Meshes
A novel region-based approach is proposed to find a thin plate spline map between a pair of deformable 3D objects represented by triangular surface meshes. The proposed method works without landmark extraction and feature correspondences. The aligning transformation is simply found by solving a syst...
        Saved in:
      
    
          | Published in | International journal of computer vision Vol. 126; no. 11; pp. 1220 - 1244 | 
|---|---|
| Main Authors | , | 
| Format | Journal Article | 
| Language | English | 
| Published | 
        New York
          Springer US
    
        01.11.2018
     Springer Springer Nature B.V  | 
| Subjects | |
| Online Access | Get full text | 
| ISSN | 0920-5691 1573-1405  | 
| DOI | 10.1007/s11263-018-1084-4 | 
Cover
| Abstract | A novel region-based approach is proposed to find a thin plate spline map between a pair of deformable 3D objects represented by triangular surface meshes. The proposed method works without landmark extraction and feature correspondences. The aligning transformation is simply found by solving a system of integral equations. Each equation is generated by integrating a non-linear function over the object domains. We derive recursive formulas for the efficient computation of these integrals for open and closed surface meshes. Based on a series of comparative tests on a large synthetic dataset, our triangular mesh-based algorithm outperforms state of the art methods both in terms of computing time and accuracy. The applicability of the proposed approach has been demonstrated on the registration of 3D lung CT volumes, brain surfaces and 3D human faces. | 
    
|---|---|
| AbstractList | A novel region-based approach is proposed to find a thin plate spline map between a pair of deformable 3D objects represented by triangular surface meshes. The proposed method works without landmark extraction and feature correspondences. The aligning transformation is simply found by solving a system of integral equations. Each equation is generated by integrating a non-linear function over the object domains. We derive recursive formulas for the efficient computation of these integrals for open and closed surface meshes. Based on a series of comparative tests on a large synthetic dataset, our triangular mesh-based algorithm outperforms state of the art methods both in terms of computing time and accuracy. The applicability of the proposed approach has been demonstrated on the registration of 3D lung CT volumes, brain surfaces and 3D human faces. | 
    
| Audience | Academic | 
    
| Author | Sánta, Zsolt Kato, Zoltan  | 
    
| Author_xml | – sequence: 1 givenname: Zsolt orcidid: 0000-0002-1299-6162 surname: Sánta fullname: Sánta, Zsolt organization: Institute of Informatics, University of Szeged – sequence: 2 givenname: Zoltan orcidid: 0000-0002-9328-4254 surname: Kato fullname: Kato, Zoltan email: kato@inf.u-szeged.hu organization: Department of Mathematics and Informatics, J. Selye University  | 
    
| BookMark | eNp1kE1LwzAYgINMcJv-AG8FTx4y87ZpkxzHmDqYCG6eQ5aP2tG1M2lB_70ZFWQHyeGF8DzJyzNBo6ZtLEK3QGZACHsIAGmRYQIcA-EU0ws0hpxlGCjJR2hMREpwXgi4QpMQ9oSQlKfZGM2WtQpdpZN5XZXNwTZd0rpk6yvVlH2tfLLpvVPaJi82fNhwjS6dqoO9-Z1T9P643C6e8fr1abWYr7HOKHRYOUWEE8ZYrihhSvAdZ6wAa_PCQcFEbpzaGWeocVQ7IIZrZmBnslRbwXg2RXfDu0fffvY2dHLf9r6JX8o0bp5RwUQaqdlAlaq2smpc23ml4zH2UOkYyFXxfp7nmaAciIjC_ZkQmc5-daXqQ5Crzds5CwOrfRuCt04efXVQ_lsCkafmcmguY3N5ai5pdNLBCZFtSuv_1v5f-gGUu4QB | 
    
| Cites_doi | 10.1016/j.athoracsur.2006.03.095 10.1109/ICCVW.2009.5457428 10.1109/TIP.2005.863114 10.1109/TPAMI.2016.2515606 10.1109/TPAMI.2011.110 10.1109/TVCG.2003.1196006 10.1109/TVCG.2012.310 10.1007/978-3-540-73273-0_56 10.1016/j.comgeo.2006.11.008 10.1002/wics.4 10.1007/978-3-540-75759-7_39 10.1016/j.media.2008.03.006 10.1109/TMI.2007.904691 10.1007/978-1-4020-9086-8_2 10.1109/CVPR.2006.19 10.1109/CVPR.2010.5540189 10.1016/j.patcog.2014.10.006 10.1109/TPAMI.2011.200 10.1097/PRS.0b013e3181b454bd 10.1007/11919476_76 10.1007/978-3-540-89991-4_6 10.1109/CVPR.2015.7298655 10.1145/2461912.2461969 10.1016/S1077-3142(03)00009-2 10.1109/ICCV.2015.252 10.1109/DICTA.2012.6411674 10.1109/TDPVT.2004.1335269 10.1016/j.aim.2011.01.020 10.1016/S1361-8415(98)80022-4 10.1016/S1361-8415(00)00014-1 10.1109/TPAMI.2007.1105 10.1007/978-94-010-0646-0 10.1145/2010324.1964974 10.1007/s11263-012-0605-9 10.1109/TIP.2009.2024578 10.1109/TMM.2009.2017629 10.1007/3-540-44745-8_34 10.2312/SGP/SGP06/061-070 10.1007/978-3-319-48881-3_36 10.1137/1.9781611970128 10.1073/pnas.0508601103 10.1007/s11263-013-0681-5 10.1109/TMI.2013.2265603 10.1109/CVPR.2009.5206748 10.1111/j.2517-6161.1977.tb01600.x 10.1111/j.1467-8659.2011.02023.x 10.1007/10704282_64 10.1007/0-387-28831-7_13 10.1109/TPAMI.1984.4767596 10.1109/ICCV.2013.417 10.1109/CogInfoCom.2012.6422041 10.1109/CVPR.2013.279 10.1109/TPAMI.2010.139 10.1146/annurev-bioeng-071910-124649 10.1109/CVPR.2005.177 10.1109/TPAMI.2012.23 10.1016/j.ijom.2008.06.011 10.1016/j.media.2012.04.006 10.1109/CVPR.2015.7298631 10.1016/S0925-7721(01)00047-5 10.1007/978-3-540-88688-4_44 10.1109/TPAMI.2010.223 10.1109/TPAMI.2010.210 10.1109/DICTA.2011.14 10.1109/TCYB.2014.2359056 10.1109/3DV.2013.33 10.1016/S0262-8856(03)00137-9 10.1109/TPAMI.2010.46 10.1007/3-540-48714-X_17 10.1109/CVPR.2007.383291 10.1109/ICCVW.2011.6130444 10.1109/34.24792 10.1007/978-1-84800-279-1 10.1111/j.1467-8659.2009.01515.x  | 
    
| ContentType | Journal Article | 
    
| Copyright | Springer Science+Business Media, LLC, part of Springer Nature 2018 COPYRIGHT 2018 Springer International Journal of Computer Vision is a copyright of Springer, (2018). All Rights Reserved.  | 
    
| Copyright_xml | – notice: Springer Science+Business Media, LLC, part of Springer Nature 2018 – notice: COPYRIGHT 2018 Springer – notice: International Journal of Computer Vision is a copyright of Springer, (2018). All Rights Reserved.  | 
    
| DBID | AAYXX CITATION ISR 3V. 7SC 7WY 7WZ 7XB 87Z 8AL 8FD 8FE 8FG 8FK 8FL ABUWG AFKRA ARAPS AZQEC BENPR BEZIV BGLVJ CCPQU DWQXO FRNLG F~G GNUQQ HCIFZ JQ2 K60 K6~ K7- L.- L7M L~C L~D M0C M0N P5Z P62 PHGZM PHGZT PKEHL PQBIZ PQBZA PQEST PQGLB PQQKQ PQUKI PRINS PYYUZ Q9U  | 
    
| DOI | 10.1007/s11263-018-1084-4 | 
    
| DatabaseName | CrossRef Gale In Context: Science ProQuest Central (Corporate) Computer and Information Systems Abstracts ABI/INFORM Collection (via ProQuest) ABI/INFORM Global (PDF only) ProQuest Central (purchase pre-March 2016) ABI/INFORM Collection Computing Database (Alumni Edition) Technology Research Database ProQuest SciTech Collection ProQuest Technology Collection ProQuest Central (Alumni) (purchase pre-March 2016) ABI/INFORM Collection (Alumni Edition) ProQuest Central (Alumni) ProQuest Central UK/Ireland Advanced Technologies & Computer Science Collection ProQuest Central Essentials ProQuest Central Business Premium Collection Technology Collection (via ProQuest SciTech Premium Collection) ProQuest One Community College ProQuest Central Business Premium Collection (Alumni) ABI/INFORM Global (Corporate) ProQuest Central Student SciTech Premium Collection (via ProQuest) ProQuest Computer Science Collection ProQuest Business Collection (Alumni Edition) ProQuest Business Collection Computer Science Database ABI/INFORM Professional Advanced Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts  Academic Computer and Information Systems Abstracts Professional ABI/INFORM global Computing Database ProQuest advanced technologies & aerospace journals ProQuest Advanced Technologies & Aerospace Collection ProQuest Central Premium ProQuest One Academic ProQuest One Academic Middle East (New) ProQuest One Business ProQuest One Business (Alumni) ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic ProQuest One Academic UKI Edition ProQuest Central China ABI/INFORM Collection China ProQuest Central Basic  | 
    
| DatabaseTitle | CrossRef ABI/INFORM Global (Corporate) ProQuest Business Collection (Alumni Edition) ProQuest One Business Computer Science Database ProQuest Central Student Technology Collection Technology Research Database Computer and Information Systems Abstracts – Academic ProQuest One Academic Middle East (New) ProQuest Advanced Technologies & Aerospace Collection ProQuest Central Essentials ProQuest Computer Science Collection Computer and Information Systems Abstracts ProQuest Central (Alumni Edition) SciTech Premium Collection ProQuest One Community College ProQuest Central China ABI/INFORM Complete ProQuest Central ABI/INFORM Professional Advanced ProQuest One Applied & Life Sciences ProQuest Central Korea ProQuest Central (New) Advanced Technologies Database with Aerospace ABI/INFORM Complete (Alumni Edition) Advanced Technologies & Aerospace Collection Business Premium Collection ABI/INFORM Global ProQuest Computing ABI/INFORM Global (Alumni Edition) ProQuest Central Basic ProQuest Computing (Alumni Edition) ProQuest One Academic Eastern Edition ABI/INFORM China ProQuest Technology Collection ProQuest SciTech Collection ProQuest Business Collection Computer and Information Systems Abstracts Professional Advanced Technologies & Aerospace Database ProQuest One Academic UKI Edition ProQuest One Business (Alumni) ProQuest One Academic ProQuest Central (Alumni) ProQuest One Academic (New) Business Premium Collection (Alumni)  | 
    
| DatabaseTitleList | ABI/INFORM Global (Corporate)  | 
    
| Database_xml | – sequence: 1 dbid: 8FG name: ProQuest Technology Collection url: https://search.proquest.com/technologycollection1 sourceTypes: Aggregation Database  | 
    
| DeliveryMethod | fulltext_linktorsrc | 
    
| Discipline | Applied Sciences Computer Science  | 
    
| EISSN | 1573-1405 | 
    
| EndPage | 1244 | 
    
| ExternalDocumentID | A553948109 10_1007_s11263_018_1084_4  | 
    
| GrantInformation_xml | – fundername: Nemzeti Kutatási és Technológiai Hivatal grantid: K120366 funderid: http://dx.doi.org/10.13039/501100003827  | 
    
| GroupedDBID | -4Z -59 -5G -BR -EM -Y2 -~C .4S .86 .DC .VR 06D 0R~ 0VY 199 1N0 1SB 2.D 203 28- 29J 2J2 2JN 2JY 2KG 2KM 2LR 2P1 2VQ 2~H 30V 3V. 4.4 406 408 409 40D 40E 5GY 5QI 5VS 67Z 6NX 6TJ 78A 7WY 8FE 8FG 8FL 8TC 8UJ 95- 95. 95~ 96X AAAVM AABHQ AACDK AAHNG AAIAL AAJBT AAJKR AANZL AAOBN AARHV AARTL AASML AATNV AATVU AAUYE AAWCG AAYIU AAYQN AAYTO AAYZH ABAKF ABBBX ABBXA ABDBF ABDZT ABECU ABFTD ABFTV ABHLI ABHQN ABJNI ABJOX ABKCH ABKTR ABMNI ABMQK ABNWP ABQBU ABQSL ABSXP ABTEG ABTHY ABTKH ABTMW ABULA ABUWG ABWNU ABXPI ACAOD ACBXY ACDTI ACGFO ACGFS ACHSB ACHXU ACIHN ACKNC ACMDZ ACMLO ACOKC ACOMO ACPIV ACREN ACUHS ACZOJ ADHHG ADHIR ADIMF ADINQ ADKNI ADKPE ADMLS ADRFC ADTPH ADURQ ADYFF ADYOE ADZKW AEAQA AEBTG AEFIE AEFQL AEGAL AEGNC AEJHL AEJRE AEKMD AEMSY AENEX AEOHA AEPYU AESKC AETLH AEVLU AEXYK AFBBN AFEXP AFGCZ AFKRA AFLOW AFQWF AFWTZ AFYQB AFZKB AGAYW AGDGC AGGDS AGJBK AGMZJ AGQEE AGQMX AGRTI AGWIL AGWZB AGYKE AHAVH AHBYD AHKAY AHSBF AHYZX AIAKS AIGIU AIIXL AILAN AITGF AJBLW AJRNO AJZVZ ALMA_UNASSIGNED_HOLDINGS ALWAN AMKLP AMTXH AMXSW AMYLF AMYQR AOCGG ARAPS ARCSS ARMRJ ASPBG AVWKF AXYYD AYJHY AZFZN AZQEC B-. B0M BA0 BBWZM BDATZ BENPR BEZIV BGLVJ BGNMA BPHCQ BSONS CAG CCPQU COF CS3 CSCUP DDRTE DL5 DNIVK DPUIP DU5 DWQXO EAD EAP EAS EBLON EBS EDO EIOEI EJD EMK EPL ESBYG ESX F5P FEDTE FERAY FFXSO FIGPU FINBP FNLPD FRNLG FRRFC FSGXE FWDCC GGCAI GGRSB GJIRD GNUQQ GNWQR GQ6 GQ7 GQ8 GROUPED_ABI_INFORM_COMPLETE GXS H13 HCIFZ HF~ HG5 HG6 HMJXF HQYDN HRMNR HVGLF HZ~ I-F I09 IAO IHE IJ- IKXTQ ISR ITC ITM IWAJR IXC IZIGR IZQ I~X I~Y I~Z J-C J0Z JBSCW JCJTX JZLTJ K60 K6V K6~ K7- KDC KOV KOW LAK LLZTM M0C M0N M4Y MA- N2Q N9A NB0 NDZJH NPVJJ NQJWS NU0 O9- O93 O9G O9I O9J OAM OVD P19 P2P P62 P9O PF0 PQBIZ PQBZA PQQKQ PROAC PT4 PT5 QF4 QM1 QN7 QO4 QOK QOS R4E R89 R9I RHV RNI RNS ROL RPX RSV RZC RZE RZK S16 S1Z S26 S27 S28 S3B SAP SCJ SCLPG SCO SDH SDM SHX SISQX SJYHP SNE SNPRN SNX SOHCF SOJ SPISZ SRMVM SSLCW STPWE SZN T13 T16 TAE TEORI TSG TSK TSV TUC TUS U2A UG4 UOJIU UTJUX UZXMN VC2 VFIZW W23 W48 WK8 YLTOR Z45 Z7R Z7S Z7V Z7W Z7X Z7Y Z7Z Z83 Z86 Z88 Z8M Z8N Z8P Z8Q Z8R Z8S Z8T Z8W Z92 ZMTXR ~8M ~EX AAPKM AAYXX ABBRH ABDBE ABFSG ABRTQ ACSTC ADHKG ADKFA AEZWR AFDZB AFHIU AFOHR AGQPQ AHPBZ AHWEU AIXLP ATHPR AYFIA CITATION ICD PHGZM PHGZT PQGLB PUEGO 7SC 7XB 8AL 8FD 8FK JQ2 L.- L7M L~C L~D PKEHL PQEST PQUKI PRINS Q9U  | 
    
| ID | FETCH-LOGICAL-c341t-afa09f9dde8a407a98b87761ee56f16795dfabdfd4df4cf10d8c7d1bd32ce9783 | 
    
| IEDL.DBID | BENPR | 
    
| ISSN | 0920-5691 | 
    
| IngestDate | Sun Sep 07 03:39:20 EDT 2025 Mon Oct 20 16:35:31 EDT 2025 Thu Oct 16 14:51:00 EDT 2025 Wed Oct 01 05:08:41 EDT 2025 Fri Feb 21 02:35:17 EST 2025  | 
    
| IsPeerReviewed | true | 
    
| IsScholarly | true | 
    
| Issue | 11 | 
    
| Keywords | Elastic alignment Correspondence-less registration Triangular surface mesh Thin plate spline  | 
    
| Language | English | 
    
| LinkModel | DirectLink | 
    
| MergedId | FETCHMERGED-LOGICAL-c341t-afa09f9dde8a407a98b87761ee56f16795dfabdfd4df4cf10d8c7d1bd32ce9783 | 
    
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14  | 
    
| ORCID | 0000-0002-1299-6162 0000-0002-9328-4254  | 
    
| PQID | 2028349792 | 
    
| PQPubID | 1456341 | 
    
| PageCount | 25 | 
    
| ParticipantIDs | proquest_journals_2028349792 gale_infotracacademiconefile_A553948109 gale_incontextgauss_ISR_A553948109 crossref_primary_10_1007_s11263_018_1084_4 springer_journals_10_1007_s11263_018_1084_4  | 
    
| ProviderPackageCode | CITATION AAYXX  | 
    
| PublicationCentury | 2000 | 
    
| PublicationDate | 20181100 2018-11-00 20181101  | 
    
| PublicationDateYYYYMMDD | 2018-11-01 | 
    
| PublicationDate_xml | – month: 11 year: 2018 text: 20181100  | 
    
| PublicationDecade | 2010 | 
    
| PublicationPlace | New York | 
    
| PublicationPlace_xml | – name: New York | 
    
| PublicationTitle | International journal of computer vision | 
    
| PublicationTitleAbbrev | Int J Comput Vis | 
    
| PublicationYear | 2018 | 
    
| Publisher | Springer US Springer Springer Nature B.V  | 
    
| Publisher_xml | – name: Springer US – name: Springer – name: Springer Nature B.V  | 
    
| References | Seitz, S. M., Curless, B., Diebel, J., Scharstein, D., & Szeliski, R. (2006). A comparison and evaluation of multi-view stereo reconstruction algorithms. In Proceedings of IEEE conference on computer vision and pattern recognition (pp. 519–528). IEEE Computer Society. https://doi.org/10.1109/CVPR.2006.19. NairPCavallaroA3D face detection, landmark localization, and registration using a point distribution modelIEEE Transactions on Multimedia200911461162310.1109/TMM.2009.2017629 VercauterenTPennecCPerchantAAyacheNAyacheNOurselinSMaederANon-parametric diffeomorphic image registration with the demons algorithmMedical image computing and computer-assisted intervention. Lecture notes in computer science2007BerlinSpringer319326 MianABennamounMOwensRAn efficient multimodal 2D–3D hybrid approach to automatic face recognitionIEEE Transactions on Pattern Analysis and Machince Intelligence200729111927194310.1109/TPAMI.2007.1105 ZagorchevLGoshtasbyAA comparative study of transformation functions for nonrigid image registrationIEEE Transactions on Image Processing200615352953810.1109/TIP.2005.863114 Savran, A., Alyüz, N., Dibekliolu, H., Celiktutan, O., Gökberk, B., Sankur, B., & Akarun, L. (2008). Bosphorus database for 3D face analysis. In Biometrics and identity management (pp. 47–56). Springer. https://doi.org/10.1007/978-3-540-89991-4_6. HoldenMA review of geometric transformations for nonrigid body registrationIEEE Transactions on Medical Imaging200827111112810.1109/TMI.2007.904691 DempsterAPLairdNMRubinDBMaximum likelihood from incomplete data via the EM algorithmJournal of the Royal Statistical Society Series B (Methodological)19773911385015370364.62022 DomokosCNemethJKatoZNonlinear shape registration without correspondencesIEEE Transactions on Pattern Analysis and Machince Intelligence201234594395810.1109/TPAMI.2011.200 WahbaGSpline models for observational dataSociety for Industrial and Applied Mathematics19900813.62001 Sánta, Z., & Kato, Z. (2012b). Elastic registration of 3D deformable objects. In Proceedings of international conference on digital image computing: Techniques and applications. Fremantle: IEEE. Tamas, L., Frohlich, R., & Kato, Z. (2014). Relative pose estimation and fusion of omnidirectional and lidar cameras. In Proceedings of the ECCV workshop on computer vision for road scene understanding and autonomous driving. Lecture notes in computer science. Berlin: Springer. Xu, W., Salzmann, M., Wang, Y., & Liu, Y. (2015). Deformable 3D fusion: From partial dynamic 3D observations to complete 4D models. In Proceedings of international conference on computer vision (pp. 2183–2191). https://doi.org/10.1109/ICCV.2015.252. TamGKLChengZQLaiYKLangbeinFCLiuYMarshallDMartinRRSunXFRosinPLRegistration of 3D point clouds and meshes: A survey from rigid to nonrigidIEEE Transactions on Visualization and Computer Graphics20131971199121710.1109/TVCG.2012.310 MyronenkoASongXPoint set registration: Coherent point driftIEEE Transactions on Pattern Analysis and Machince Intelligence201032122262227510.1109/TPAMI.2010.46 LiSZSinghSMarkov random field modeling in image analysis2009BerlinSpringer RineauLYvinecMA generic software design for delaunay refinement meshingComputational Geometry20073812100110232954310.1016/j.comgeo.2006.11.0081114.65310 Aubry, M., Schlickewei, U., & Cremers D. (2011). The wave kernel signature: A quantum mechanical approach to shape analysis. In Proceedings of international conference on computer vision (pp. 1626–1633). https://doi.org/10.1109/ICCVW.2011.6130444. KoehlPFast recursive computation of 3D geometric moments from surface meshesIEEE Transactions on Pattern Analysis and Machince Intelligence201234112158216310.1109/TPAMI.2012.23 CheungWHamarnehGn\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$n$$\end{document}-sift: n\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$n$$\end{document}-dimensional scale invariant feature transformIEEE Transactions on Image Processing200918920122021275093010.1109/TIP.2009.20245781371.94468 Song, S., Lichtenberg, S. P., & Xiao, J. (2015) Sun RGB-D: A RGB-D scene understanding benchmark suite. In Proceedings of IEEE conference on computer vision and pattern recognition (pp. 567–576). https://doi.org/10.1109/CVPR.2015.7298655. SotirasADavatzikosCParagiosNDeformable medical image registration: A surveyIEEE Transactions on Medical Imaging20133271153119010.1109/TMI.2013.2265603 Mitra, J., Kato, Z., Ghose, S., Sidibe, D., Mart, R., Llado, X., Oliver, A., Vilanova, J. C., & Meriaudeau, F. (2012a) Spectral clustering to model deformations for fast multimodal prostate registration. In Proceedings of international conference on pattern recognition. IAPR, IEEE, Tsukuba Science City, Japan (pp. 2622–2625). TanácsALindbladJSladojeNKatoZEstimation of linear deformations of 2D and 3D fuzzy objectsPattern Recognition20154841391140310.1016/j.patcog.2014.10.0061374.68693 NooruddinFSTurkGSimplification and repair of polygonal models using volumetric techniquesIEEE Transactions on Visualization and Computer Graphics20039219120510.1109/TVCG.2003.1196006 PostelnicuGZolleiLDesikanRFischlBKarssemeijerNLelieveldtBGeometry driven volumetric registrationInformation processing in medical imaging, Lecture notes in computer science2007BerlinSpringer67568610.1007/978-3-540-73273-0_56 CreusotCPearsNAustinJA machine-learning approach to keypoint detection and landmarking on 3D meshesInternational Journal on Computer Vision20131021–314617910.1007/s11263-012-0605-9 GlockerBKomodakisNTziritasGNavabNParagiosNDense image registration through MRFs and efficient linear programmingMedical Image Analysis200812673174110.1016/j.media.2008.03.006(Special issue on information processing in medical imaging 2007) Guo, H., Rangarajan, A., & Joshi, S. (2006). Diffeomorphic point matching. In N. Paragios, Y. Chen, & O. Faugeras (Eds.), Handbook of mathematical models in computer vision (pp. 205–219). Springer. https://doi.org/10.1007/0-387-28831-7_13 Zeng, Y., Wang, C., Gu, X., Samaras, D., & Paragios, N. (2013). A generic deformation model for dense non-rigid surface registration: A higher-order mrf-based approach. In Proceedings of international conference on computer vision (pp. 3360–3367). https://doi.org/10.1109/ICCV.2013.417. BryantASCerfolioRJThe maximum standardized uptake values on integrated FDG-PET/CT is useful in differentiating benign from malignant pulmonary nodulesThe Annals of Thoracic Surgery2006821016102010.1016/j.athoracsur.2006.03.095 LipmanYDaubechiesIConformal wasserstein distances: Comparing surfaces in polynomial timeAdvances in Mathematics2011227310471077279960010.1016/j.aim.2011.01.0201217.53026 Lourakis, M. (2004). Levmar: Levenberg–Marquardt nonlinear least squares algorithms in C/C++. http://www.ics.forth.gr/~lourakis/levmar/. Accessed 12 Apr 2018. CorneanuCASimnMOCohnJFGuerreroSESurvey on RGB, 3D, thermal, and multimodal approaches for facial expression recognition: History, trends, and affect-related applicationsIEEE Transactions on Pattern Analysis and Machince Intelligence20163881548156810.1109/TPAMI.2016.2515606 LinHGaoJZhouYLuGYeMZhangCLiuLYangRSemantic decomposition and reconstruction of residential scenes from lidar dataACM Transactions on Graphics201332466:166:10 ShewchukJRDelaunay refinement algorithms for triangular mesh generationComputational Geometry. 16th ACM Symposium on Computational Geometry20022213217418936521016.68139 Weise, T., Leibe, B., Van Gool, L. (2007). Fast 3D scanning with automatic motion compensation. In Proceedings of IEEE conference on computer vision and pattern recognition (pp. 1–8). https://doi.org/10.1109/CVPR.2007.383291. GlockerBSotirasAKomodakisNParagiosNDeformable medical image registration: Setting the state of the art with discrete methodsAnnual Review of Biomedical Engineering201113121924410.1146/annurev-bioeng-071910-124649 Pennec, X., Cachier, P., & Ayache, N. (1999). Understanding the ”demons algorithm”: 3D non-rigid registration by gradient descent. In C. Taylor, & A. Colchester (Eds.), Medical image computing and computer-assisted intervention, Lecture notes in computer science (Vol. 1679, pp. 597–605). Berlin: Springer. https://doi.org/10.1007/10704282_64 Newcombe, R. A., Fox, D., & Seitz, S. M. (2015). Dynamicfusion: Reconstruction and tracking of non-rigid scenes in real-time. In Proceedings of IEEE conference on computer vision and pattern recognition (pp. 343–352). https://doi.org/10.1109/CVPR.2015.7298631. BooksteinFLPrincipal warps: Thin-plate splines and the decomposition of deformationsIEEE Transactions on Pattern Analysis and Machince Intelligence198911656758510.1109/34.247920691.65002 Mitra, J., Kato, Z., Marti, R., Oliver, A., Llado, X., Ghose, S., Vilanova, J. C., & Meriaudeau, F. (2011) A non-linear diffeomorphic framework for prostate multimodal registration. In Proceedings of international conference on digital image computing: Techniques and applications (pp. 31–36). Noosa: IEEE. Rineau, L., & Yvinec, M. (2012). 3D surface mesh generation. In CGAL user and reference manual (4.0 edn.). CGAL Editorial Board. PapazovCBurschkaDDeformable 3D shape registration based on local similarity transformsComputer Graphics Forum20113051493150210.1111/j.1467-8659.2011.02023.x ScottDWThe l2E methodWiley Interdisciplinary Reviews: Computational Statistics200911455110.1002/wics.4 Zaharescu, A., Boyer, E., Varanasi, K., & Horaud, R. (2009). Surface feature detection and description with applications to mesh matching. In Proceedings of IEEE conference on computer vision and pattern recognition (pp. 373–380). https://doi.org/10.1109/CVPR.2009.5206748. PozoJMVilla-UriolMCFrangiAFEfficient 3D geometric and zernike moments computati P Koehl (1084_CR30) 2012; 34 T Vercauteren (1084_CR70) 2007 VG Kim (1084_CR29) 2011; 30 1084_CR62 H Lombaert (1084_CR34) 2014; 107 1084_CR23 1084_CR67 AP Dempster (1084_CR16) 1977; 39 HJ Zimmermann (1084_CR79) 2001 1084_CR9 1084_CR4 1084_CR28 N Dalal (1084_CR15) 2005; 1 1084_CR27 B Zitová (1084_CR80) 2003; 21 A Mian (1084_CR37) 2007; 29 FL Bookstein (1084_CR5) 1989; 11 L Rineau (1084_CR50) 2007; 38 H Chui (1084_CR12) 2003; 89 1084_CR73 CL Heike (1084_CR24) 2009; 124 1084_CR72 1084_CR35 A Tanács (1084_CR68) 2015; 48 1084_CR78 M Holden (1084_CR25) 2008; 27 SZ Li (1084_CR31) 2009 1084_CR36 AM Bronstein (1084_CR6) 2006; 103 GKL Tam (1084_CR66) 2013; 19 B Glocker (1084_CR22) 2011; 13 1084_CR74 1084_CR77 1084_CR76 1084_CR39 1084_CR38 G Peyré (1084_CR47) 2009 J Mitra (1084_CR40) 2012; 16 C Papazov (1084_CR45) 2011; 30 AS Bryant (1084_CR8) 2006; 82 MA Audette (1084_CR3) 2000; 4 C Creusot (1084_CR14) 2013; 102 B Glocker (1084_CR21) 2008; 12 1084_CR46 G Postelnicu (1084_CR48) 2007 C Domokos (1084_CR17) 2012; 34 DW Scott (1084_CR58) 2009; 1 1084_CR43 A Sotiras (1084_CR63) 2013; 32 J Sun (1084_CR65) 2009; 28 O Duchenne (1084_CR18) 2011; 33 H Lin (1084_CR32) 2013; 32 JM Pozo (1084_CR49) 2011; 33 FM Sukno (1084_CR64) 2015; 45 JP Thirion (1084_CR69) 1998; 2 1084_CR2 A Sharifi (1084_CR60) 2008; 37 1084_CR1 B Jian (1084_CR26) 2011; 33 P Nair (1084_CR42) 2009; 11 1084_CR51 L Zagorchev (1084_CR75) 2006; 15 Y Lipman (1084_CR33) 2011; 227 FS Nooruddin (1084_CR44) 2003; 9 A Myronenko (1084_CR41) 2010; 32 1084_CR57 1084_CR56 1084_CR59 1084_CR53 1084_CR52 1084_CR11 1084_CR55 JR Shewchuk (1084_CR61) 2002; 22 1084_CR54 CA Corneanu (1084_CR13) 2016; 38 W Cheung (1084_CR10) 2009; 18 MM Bronstein (1084_CR7) 2011; 33 S Geman (1084_CR20) 1984; 6 1084_CR19 G Wahba (1084_CR71) 1990  | 
    
| References_xml | – reference: HoldenMA review of geometric transformations for nonrigid body registrationIEEE Transactions on Medical Imaging200827111112810.1109/TMI.2007.904691 – reference: Kazhdan, M., Bolitho, M., & Hoppe, H. (2006) Poisson surface reconstruction. In Proceedings of the fourth eurographics symposium on geometry processing, Eurographics Association, Aire-la-Ville, Switzerland, Switzerland, SGP ’06 (pp. 61–70). https://doi.org/10.2312/SGP/SGP06/061-070. – reference: KimVGLipmanYFunkhouserTBlended intrinsic mapsACM Transactions on Graphics201130479:179:1210.1145/2010324.1964974 – reference: BronsteinMMBronsteinAMShape recognition with spectral distancesIEEE Transactions on Pattern Analysis and Machince Intelligence20113351065107110.1109/TPAMI.2010.210 – reference: BryantASCerfolioRJThe maximum standardized uptake values on integrated FDG-PET/CT is useful in differentiating benign from malignant pulmonary nodulesThe Annals of Thoracic Surgery2006821016102010.1016/j.athoracsur.2006.03.095 – reference: NairPCavallaroA3D face detection, landmark localization, and registration using a point distribution modelIEEE Transactions on Multimedia200911461162310.1109/TMM.2009.2017629 – reference: BooksteinFLPrincipal warps: Thin-plate splines and the decomposition of deformationsIEEE Transactions on Pattern Analysis and Machince Intelligence198911656758510.1109/34.247920691.65002 – reference: SotirasADavatzikosCParagiosNDeformable medical image registration: A surveyIEEE Transactions on Medical Imaging20133271153119010.1109/TMI.2013.2265603 – reference: Yamazaki, S., Kagami, S., & Mochimaru, M. (2013). Non-rigid shape registration using similarity-invariant differential coordinates. In Proceedings of international conference on 3D vision (pp. 191–198) https://doi.org/10.1109/3DV.2013.33. – reference: Zeng, Y., Wang, C., Gu, X., Samaras, D., & Paragios, N. (2013). A generic deformation model for dense non-rigid surface registration: A higher-order mrf-based approach. In Proceedings of international conference on computer vision (pp. 3360–3367). https://doi.org/10.1109/ICCV.2013.417. – reference: Pennec, X., Cachier, P., & Ayache, N. (1999). Understanding the ”demons algorithm”: 3D non-rigid registration by gradient descent. In C. Taylor, & A. Colchester (Eds.), Medical image computing and computer-assisted intervention, Lecture notes in computer science (Vol. 1679, pp. 597–605). Berlin: Springer. https://doi.org/10.1007/10704282_64 – reference: SunJOvsjanikovMGuibasLA concise and provably informative multi-scale signature based on heat diffusionComputer Graphics Forum20092851383139210.1111/j.1467-8659.2009.01515.x – reference: DuchenneOBachFKweonISPonceJA tensor-based algorithm for high-order graph matchingIEEE Transactions on Pattern Analysis and Machince Intelligence201133122383239510.1109/TPAMI.2011.110 – reference: Mitra, J., Kato, Z., Marti, R., Oliver, A., Llado, X., Ghose, S., Vilanova, J. C., & Meriaudeau, F. (2011) A non-linear diffeomorphic framework for prostate multimodal registration. In Proceedings of international conference on digital image computing: Techniques and applications (pp. 31–36). Noosa: IEEE. – reference: GlockerBKomodakisNTziritasGNavabNParagiosNDense image registration through MRFs and efficient linear programmingMedical Image Analysis200812673174110.1016/j.media.2008.03.006(Special issue on information processing in medical imaging 2007) – reference: NooruddinFSTurkGSimplification and repair of polygonal models using volumetric techniquesIEEE Transactions on Visualization and Computer Graphics20039219120510.1109/TVCG.2003.1196006 – reference: KoehlPFast recursive computation of 3D geometric moments from surface meshesIEEE Transactions on Pattern Analysis and Machince Intelligence201234112158216310.1109/TPAMI.2012.23 – reference: Sánta, Z., & Kato, Z. (2012a). A unifying framework for non-linear registration of 3D objects. In Proceedings of IEEE international conference on cognitive infocommunications (pp. 547–552). Kosice: IEEE. – reference: CreusotCPearsNAustinJA machine-learning approach to keypoint detection and landmarking on 3D meshesInternational Journal on Computer Vision20131021–314617910.1007/s11263-012-0605-9 – reference: WahbaGSpline models for observational dataSociety for Industrial and Applied Mathematics19900813.62001 – reference: Zeng, Y., Wang, C., Wang, Y., Gu, X., Samaras, D., & Paragios, N. (2010). Dense non-rigid surface registration using high-order graph matching. In Proceedings of IEEE conference on computer vision and pattern recognition (pp. 382–389). https://doi.org/10.1109/CVPR.2010.5540189. – reference: LiSZSinghSMarkov random field modeling in image analysis2009BerlinSpringer – reference: PeyréGCohenLTavaresJMRSJorgeRMNGeodesic methods for shape and surface processingAdvances in computational vision and medical image processing, computational methods in applied sciences2009NetherlandsSpringer295610.1007/978-1-4020-9086-8_2 – reference: DempsterAPLairdNMRubinDBMaximum likelihood from incomplete data via the EM algorithmJournal of the Royal Statistical Society Series B (Methodological)19773911385015370364.62022 – reference: Sánta, Z., & Kato, Z. (2016). 3D face alignment without correspondences. In Proceedings of European conference on computer vision workshops (pp. 521–535). https://doi.org/10.1007/978-3-319-48881-3_36. – reference: Sánta, Z., & Kato, Z. (2012b). Elastic registration of 3D deformable objects. In Proceedings of international conference on digital image computing: Techniques and applications. Fremantle: IEEE. – reference: SharifiAJonesRAyoubAMoosKWalkerFKhambayBMcHughSHow accurate is model planning for orthognathic surgery?International Journal of Oral and Maxillofacial Surgery200837121089109310.1016/j.ijom.2008.06.011 – reference: CorneanuCASimnMOCohnJFGuerreroSESurvey on RGB, 3D, thermal, and multimodal approaches for facial expression recognition: History, trends, and affect-related applicationsIEEE Transactions on Pattern Analysis and Machince Intelligence20163881548156810.1109/TPAMI.2016.2515606 – reference: TamGKLChengZQLaiYKLangbeinFCLiuYMarshallDMartinRRSunXFRosinPLRegistration of 3D point clouds and meshes: A survey from rigid to nonrigidIEEE Transactions on Visualization and Computer Graphics20131971199121710.1109/TVCG.2012.310 – reference: CheungWHamarnehGn\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$n$$\end{document}-sift: n\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$n$$\end{document}-dimensional scale invariant feature transformIEEE Transactions on Image Processing200918920122021275093010.1109/TIP.2009.20245781371.94468 – reference: DomokosCNemethJKatoZNonlinear shape registration without correspondencesIEEE Transactions on Pattern Analysis and Machince Intelligence201234594395810.1109/TPAMI.2011.200 – reference: Guo, H., Rangarajan, A., & Joshi, S. (2006). Diffeomorphic point matching. In N. Paragios, Y. Chen, & O. Faugeras (Eds.), Handbook of mathematical models in computer vision (pp. 205–219). Springer. https://doi.org/10.1007/0-387-28831-7_13 – reference: MianABennamounMOwensRAn efficient multimodal 2D–3D hybrid approach to automatic face recognitionIEEE Transactions on Pattern Analysis and Machince Intelligence200729111927194310.1109/TPAMI.2007.1105 – reference: Zaharescu, A., Boyer, E., Varanasi, K., & Horaud, R. (2009). Surface feature detection and description with applications to mesh matching. In Proceedings of IEEE conference on computer vision and pattern recognition (pp. 373–380). https://doi.org/10.1109/CVPR.2009.5206748. – reference: ThirionJPImage matching as a diffusion process: An analogy with maxwell’s demonsMedical Image Analysis19982324326010.1016/S1361-8415(98)80022-4 – reference: DalalNTriggsBHistograms of oriented gradients for human detectionProceedings of IEEE Conference on Computer Vision and Pattern Recognition20051886893 – reference: Mitra, J., Kato, Z., Ghose, S., Sidibe, D., Mart, R., Llado, X., Oliver, A., Vilanova, J. C., & Meriaudeau, F. (2012a) Spectral clustering to model deformations for fast multimodal prostate registration. In Proceedings of international conference on pattern recognition. IAPR, IEEE, Tsukuba Science City, Japan (pp. 2622–2625). – reference: LipmanYDaubechiesIConformal wasserstein distances: Comparing surfaces in polynomial timeAdvances in Mathematics2011227310471077279960010.1016/j.aim.2011.01.0201217.53026 – reference: AudetteMAFerrieFPPetersTMAn algorithmic overview of surface registration techniques for medical imagingMedical Image Analysis20004320121710.1016/S1361-8415(00)00014-1 – reference: PozoJMVilla-UriolMCFrangiAFEfficient 3D geometric and zernike moments computation from unstructured surface meshesIEEE Transactions on Pattern Analysis and Machince Intelligence201133347148410.1109/TPAMI.2010.139 – reference: ShewchukJRDelaunay refinement algorithms for triangular mesh generationComputational Geometry. 16th ACM Symposium on Computational Geometry20022213217418936521016.68139 – reference: Rineau, L., & Yvinec, M. (2012). 3D surface mesh generation. In CGAL user and reference manual (4.0 edn.). CGAL Editorial Board. – reference: Song, S., Lichtenberg, S. P., & Xiao, J. (2015) Sun RGB-D: A RGB-D scene understanding benchmark suite. In Proceedings of IEEE conference on computer vision and pattern recognition (pp. 567–576). https://doi.org/10.1109/CVPR.2015.7298655. – reference: Tamas, L., Frohlich, R., & Kato, Z. (2014). Relative pose estimation and fusion of omnidirectional and lidar cameras. In Proceedings of the ECCV workshop on computer vision for road scene understanding and autonomous driving. Lecture notes in computer science. Berlin: Springer. – reference: MyronenkoASongXPoint set registration: Coherent point driftIEEE Transactions on Pattern Analysis and Machince Intelligence201032122262227510.1109/TPAMI.2010.46 – reference: ZagorchevLGoshtasbyAA comparative study of transformation functions for nonrigid image registrationIEEE Transactions on Image Processing200615352953810.1109/TIP.2005.863114 – reference: PapazovCBurschkaDDeformable 3D shape registration based on local similarity transformsComputer Graphics Forum20113051493150210.1111/j.1467-8659.2011.02023.x – reference: BronsteinAMBronsteinMMKimmelRGeneralized multidimensional scaling: A framework for isometry-invariant partial surface matchingProceedings of the National Academy of Sciences of the United States of America2006103511681172220407410.1073/pnas.05086011031160.65306 – reference: Lourakis, M. (2004). Levmar: Levenberg–Marquardt nonlinear least squares algorithms in C/C++. http://www.ics.forth.gr/~lourakis/levmar/. Accessed 12 Apr 2018. – reference: Forsyth, D., Torr, P., & Zisserman, A. (Eds.) (2008). Feature correspondence via graph matching: Models and global optimization. Lecture notes in computer science (Vol. 5303). Berlin: Springer. https://doi.org/10.1007/978-3-540-88688-4_44. – reference: Savran, A., Alyüz, N., Dibekliolu, H., Celiktutan, O., Gökberk, B., Sankur, B., & Akarun, L. (2008). Bosphorus database for 3D face analysis. In Biometrics and identity management (pp. 47–56). Springer. https://doi.org/10.1007/978-3-540-89991-4_6. – reference: LinHGaoJZhouYLuGYeMZhangCLiuLYangRSemantic decomposition and reconstruction of residential scenes from lidar dataACM Transactions on Graphics201332466:166:10 – reference: Sagawa, R., Akasaka, K., Yagi, Y., Hamer, H., & Van Gool, L. (2009). Elastic convolved ICP for the registration of deformable objects. In Proceedings of international conference on computer vision (pp. 1558–1565). Kyoto: IEEE. https://doi.org/10.1109/ICCVW.2009.5457428. – reference: GlockerBSotirasAKomodakisNParagiosNDeformable medical image registration: Setting the state of the art with discrete methodsAnnual Review of Biomedical Engineering201113121924410.1146/annurev-bioeng-071910-124649 – reference: SuknoFMWaddingtonJLWhelanPF3-D facial landmark localization with asymmetry patterns and shape regression from incomplete local featuresIEEE Transactions on Cybernetics20154591717173010.1109/TCYB.2014.2359056 – reference: Weise, T., Leibe, B., Van Gool, L. (2007). Fast 3D scanning with automatic motion compensation. In Proceedings of IEEE conference on computer vision and pattern recognition (pp. 1–8). https://doi.org/10.1109/CVPR.2007.383291. – reference: Alliez, P., Saboret, L., & Guennebaud, G. (2000). Surface reconstruction from point sets. In CGAL user and reference manual (4th edn.). CGAL Editorial Board. http://doc.cgal.org/4.4/Manual/packages.html#PkgSurfaceReconstructionFromPointSetsSummary. Accessed 12 Apr 2018. – reference: HeikeCLCunninghamMLHingAVStuhaugEStarrJRPicture perfect?: Reliability of craniofacial anthropometry using three-dimensional digital stereophotogrammetryPlastic and Reconstructive Surgery200912441261127210.1097/PRS.0b013e3181b454bd – reference: Camion, V., & Younes, L. (2001). Geodesic interpolating splines. In M. Figueiredo, J. Zerubia, & A. Jain (Eds.), Energy minimization methods in computer vision and pattern recognition, Lecture notes in computer science (Vol. 2134, pp. 513–527). Berlin: Springer. https://doi.org/10.1007/3-540-44745-8_34. – reference: Sánta, Z., & Kato, Z. (2013). Correspondence-less non-rigid registration of triangular surface meshes. In Proceedings of IEEE conference on computer vision and pattern recognition. Portland: IEEE. – reference: GemanSGemanDStochastic relaxation, gibbs distributions, and the bayesian restoration of imagesIEEE Transactions on Pattern Analysis and Machince Intelligence19846672174110.1109/TPAMI.1984.47675960573.62030 – reference: MitraJKatoZMartiROliverALladoXSidibeDGhoseSVilanovaJCCometJMeriaudeauFA spline-based non-linear diffeomorphism for multimodal prostate registrationMedical Image Analysis20121661259127910.1016/j.media.2012.04.006 – reference: ScottDWThe l2E methodWiley Interdisciplinary Reviews: Computational Statistics200911455110.1002/wics.4 – reference: TanácsALindbladJSladojeNKatoZEstimation of linear deformations of 2D and 3D fuzzy objectsPattern Recognition20154841391140310.1016/j.patcog.2014.10.0061374.68693 – reference: PostelnicuGZolleiLDesikanRFischlBKarssemeijerNLelieveldtBGeometry driven volumetric registrationInformation processing in medical imaging, Lecture notes in computer science2007BerlinSpringer67568610.1007/978-3-540-73273-0_56 – reference: VercauterenTPennecCPerchantAAyacheNAyacheNOurselinSMaederANon-parametric diffeomorphic image registration with the demons algorithmMedical image computing and computer-assisted intervention. Lecture notes in computer science2007BerlinSpringer319326 – reference: LombaertHGradyLPennecXAyacheNCherietFSpectral log-demons: Diffeomorphic image registration with very large deformationsInternational Journal on Computer Vision2014107325427110.1007/s11263-013-0681-5 – reference: ZitováBFlusserJImage registration methods: A surveyImage and Vision Computing20032111977100010.1016/S0262-8856(03)00137-9 – reference: Newcombe, R. A., Fox, D., & Seitz, S. M. (2015). Dynamicfusion: Reconstruction and tracking of non-rigid scenes in real-time. In Proceedings of IEEE conference on computer vision and pattern recognition (pp. 343–352). https://doi.org/10.1109/CVPR.2015.7298631. – reference: RineauLYvinecMA generic software design for delaunay refinement meshingComputational Geometry20073812100110232954310.1016/j.comgeo.2006.11.0081114.65310 – reference: Seitz, S. M., Curless, B., Diebel, J., Scharstein, D., & Szeliski, R. (2006). A comparison and evaluation of multi-view stereo reconstruction algorithms. In Proceedings of IEEE conference on computer vision and pattern recognition (pp. 519–528). IEEE Computer Society. https://doi.org/10.1109/CVPR.2006.19. – reference: ZimmermannHJFuzzy set theory and its applications2001BerlinSpringer10.1007/978-94-010-0646-0 – reference: Blais, F., Picard, M., & Godin, G. (2004). Accurate 3D acquisition of freely moving objects. In Proceedings of 2nd international symposium on 3D data processing, visualization and transmission (pp. 422–429). https://doi.org/10.1109/TDPVT.2004.1335269. – reference: JianBVemuriBRobust point set registration using gaussian mixture modelsIEEE Transactions on Pattern Analysis and Machince Intelligence20113381633164510.1109/TPAMI.2010.223 – reference: Jin, G., Lee, S. J., Hahn, J. K., Bielamowicz, S., Mittal, R., & Walsh, R. (2006). 3D surface reconstruction and registration for image guided medialization laryngoplasty. In Proceedings of the international conference on advances in visual computing (pp. 761–770). Berlin: Springer. https://doi.org/10.1007/11919476_76. – reference: Ma, J., Zhao, J., Tian, J., Tu, Z., & Yuille, A. (2013). Robust estimation of nonrigid transformation for point set registration. In Proceedings of IEEE conference on computer vision and pattern recognition (pp. 2147–2154). https://doi.org/10.1109/CVPR.2013.279. – reference: Xu, W., Salzmann, M., Wang, Y., & Liu, Y. (2015). Deformable 3D fusion: From partial dynamic 3D observations to complete 4D models. In Proceedings of international conference on computer vision (pp. 2183–2191). https://doi.org/10.1109/ICCV.2015.252. – reference: Christensen, G. (1999). Consistent linear-elastic transformations for image matching. In Proceedings of information processing in medical imaging (pp. 224–237). Springer. https://doi.org/10.1007/3-540-48714-X_17. – reference: Aubry, M., Schlickewei, U., & Cremers D. (2011). The wave kernel signature: A quantum mechanical approach to shape analysis. In Proceedings of international conference on computer vision (pp. 1626–1633). https://doi.org/10.1109/ICCVW.2011.6130444. – reference: ChuiHRangarajanAA new point matching algorithm for non-rigid registrationComputer Vision and Image Understanding2003892–311414110.1016/S1077-3142(03)00009-21053.68123 – volume: 82 start-page: 1016 year: 2006 ident: 1084_CR8 publication-title: The Annals of Thoracic Surgery doi: 10.1016/j.athoracsur.2006.03.095 – ident: 1084_CR52 doi: 10.1109/ICCVW.2009.5457428 – volume: 15 start-page: 529 issue: 3 year: 2006 ident: 1084_CR75 publication-title: IEEE Transactions on Image Processing doi: 10.1109/TIP.2005.863114 – volume: 38 start-page: 1548 issue: 8 year: 2016 ident: 1084_CR13 publication-title: IEEE Transactions on Pattern Analysis and Machince Intelligence doi: 10.1109/TPAMI.2016.2515606 – volume: 33 start-page: 2383 issue: 12 year: 2011 ident: 1084_CR18 publication-title: IEEE Transactions on Pattern Analysis and Machince Intelligence doi: 10.1109/TPAMI.2011.110 – volume: 9 start-page: 191 issue: 2 year: 2003 ident: 1084_CR44 publication-title: IEEE Transactions on Visualization and Computer Graphics doi: 10.1109/TVCG.2003.1196006 – volume: 19 start-page: 1199 issue: 7 year: 2013 ident: 1084_CR66 publication-title: IEEE Transactions on Visualization and Computer Graphics doi: 10.1109/TVCG.2012.310 – start-page: 675 volume-title: Information processing in medical imaging, Lecture notes in computer science year: 2007 ident: 1084_CR48 doi: 10.1007/978-3-540-73273-0_56 – volume: 38 start-page: 100 issue: 12 year: 2007 ident: 1084_CR50 publication-title: Computational Geometry doi: 10.1016/j.comgeo.2006.11.008 – ident: 1084_CR67 – volume: 1 start-page: 45 issue: 1 year: 2009 ident: 1084_CR58 publication-title: Wiley Interdisciplinary Reviews: Computational Statistics doi: 10.1002/wics.4 – start-page: 319 volume-title: Medical image computing and computer-assisted intervention. Lecture notes in computer science year: 2007 ident: 1084_CR70 doi: 10.1007/978-3-540-75759-7_39 – volume: 12 start-page: 731 issue: 6 year: 2008 ident: 1084_CR21 publication-title: Medical Image Analysis doi: 10.1016/j.media.2008.03.006 – volume: 27 start-page: 111 issue: 1 year: 2008 ident: 1084_CR25 publication-title: IEEE Transactions on Medical Imaging doi: 10.1109/TMI.2007.904691 – start-page: 29 volume-title: Advances in computational vision and medical image processing, computational methods in applied sciences year: 2009 ident: 1084_CR47 doi: 10.1007/978-1-4020-9086-8_2 – ident: 1084_CR59 doi: 10.1109/CVPR.2006.19 – ident: 1084_CR78 doi: 10.1109/CVPR.2010.5540189 – volume: 48 start-page: 1391 issue: 4 year: 2015 ident: 1084_CR68 publication-title: Pattern Recognition doi: 10.1016/j.patcog.2014.10.006 – volume: 34 start-page: 943 issue: 5 year: 2012 ident: 1084_CR17 publication-title: IEEE Transactions on Pattern Analysis and Machince Intelligence doi: 10.1109/TPAMI.2011.200 – volume: 124 start-page: 1261 issue: 4 year: 2009 ident: 1084_CR24 publication-title: Plastic and Reconstructive Surgery doi: 10.1097/PRS.0b013e3181b454bd – ident: 1084_CR27 doi: 10.1007/11919476_76 – ident: 1084_CR57 doi: 10.1007/978-3-540-89991-4_6 – ident: 1084_CR62 doi: 10.1109/CVPR.2015.7298655 – volume: 32 start-page: 66:1 issue: 4 year: 2013 ident: 1084_CR32 publication-title: ACM Transactions on Graphics doi: 10.1145/2461912.2461969 – volume: 89 start-page: 114 issue: 2–3 year: 2003 ident: 1084_CR12 publication-title: Computer Vision and Image Understanding doi: 10.1016/S1077-3142(03)00009-2 – ident: 1084_CR73 doi: 10.1109/ICCV.2015.252 – ident: 1084_CR54 doi: 10.1109/DICTA.2012.6411674 – ident: 1084_CR4 doi: 10.1109/TDPVT.2004.1335269 – volume: 227 start-page: 1047 issue: 3 year: 2011 ident: 1084_CR33 publication-title: Advances in Mathematics doi: 10.1016/j.aim.2011.01.020 – volume: 2 start-page: 243 issue: 3 year: 1998 ident: 1084_CR69 publication-title: Medical Image Analysis doi: 10.1016/S1361-8415(98)80022-4 – volume: 4 start-page: 201 issue: 3 year: 2000 ident: 1084_CR3 publication-title: Medical Image Analysis doi: 10.1016/S1361-8415(00)00014-1 – volume: 29 start-page: 1927 issue: 11 year: 2007 ident: 1084_CR37 publication-title: IEEE Transactions on Pattern Analysis and Machince Intelligence doi: 10.1109/TPAMI.2007.1105 – volume-title: Fuzzy set theory and its applications year: 2001 ident: 1084_CR79 doi: 10.1007/978-94-010-0646-0 – volume: 30 start-page: 79:1 issue: 4 year: 2011 ident: 1084_CR29 publication-title: ACM Transactions on Graphics doi: 10.1145/2010324.1964974 – volume: 102 start-page: 146 issue: 1–3 year: 2013 ident: 1084_CR14 publication-title: International Journal on Computer Vision doi: 10.1007/s11263-012-0605-9 – volume: 18 start-page: 2012 issue: 9 year: 2009 ident: 1084_CR10 publication-title: IEEE Transactions on Image Processing doi: 10.1109/TIP.2009.2024578 – volume: 11 start-page: 611 issue: 4 year: 2009 ident: 1084_CR42 publication-title: IEEE Transactions on Multimedia doi: 10.1109/TMM.2009.2017629 – ident: 1084_CR9 doi: 10.1007/3-540-44745-8_34 – ident: 1084_CR28 doi: 10.2312/SGP/SGP06/061-070 – ident: 1084_CR55 – ident: 1084_CR56 doi: 10.1007/978-3-319-48881-3_36 – year: 1990 ident: 1084_CR71 publication-title: Society for Industrial and Applied Mathematics doi: 10.1137/1.9781611970128 – ident: 1084_CR1 – volume: 103 start-page: 1168 issue: 5 year: 2006 ident: 1084_CR6 publication-title: Proceedings of the National Academy of Sciences of the United States of America doi: 10.1073/pnas.0508601103 – volume: 107 start-page: 254 issue: 3 year: 2014 ident: 1084_CR34 publication-title: International Journal on Computer Vision doi: 10.1007/s11263-013-0681-5 – volume: 32 start-page: 1153 issue: 7 year: 2013 ident: 1084_CR63 publication-title: IEEE Transactions on Medical Imaging doi: 10.1109/TMI.2013.2265603 – ident: 1084_CR76 doi: 10.1109/CVPR.2009.5206748 – volume: 39 start-page: 1 issue: 1 year: 1977 ident: 1084_CR16 publication-title: Journal of the Royal Statistical Society Series B (Methodological) doi: 10.1111/j.2517-6161.1977.tb01600.x – ident: 1084_CR39 – volume: 30 start-page: 1493 issue: 5 year: 2011 ident: 1084_CR45 publication-title: Computer Graphics Forum doi: 10.1111/j.1467-8659.2011.02023.x – ident: 1084_CR46 doi: 10.1007/10704282_64 – ident: 1084_CR23 doi: 10.1007/0-387-28831-7_13 – volume: 6 start-page: 721 issue: 6 year: 1984 ident: 1084_CR20 publication-title: IEEE Transactions on Pattern Analysis and Machince Intelligence doi: 10.1109/TPAMI.1984.4767596 – ident: 1084_CR77 doi: 10.1109/ICCV.2013.417 – ident: 1084_CR53 doi: 10.1109/CogInfoCom.2012.6422041 – ident: 1084_CR36 doi: 10.1109/CVPR.2013.279 – volume: 33 start-page: 471 issue: 3 year: 2011 ident: 1084_CR49 publication-title: IEEE Transactions on Pattern Analysis and Machince Intelligence doi: 10.1109/TPAMI.2010.139 – ident: 1084_CR35 – volume: 13 start-page: 219 issue: 1 year: 2011 ident: 1084_CR22 publication-title: Annual Review of Biomedical Engineering doi: 10.1146/annurev-bioeng-071910-124649 – volume: 1 start-page: 886 year: 2005 ident: 1084_CR15 publication-title: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition doi: 10.1109/CVPR.2005.177 – volume: 34 start-page: 2158 issue: 11 year: 2012 ident: 1084_CR30 publication-title: IEEE Transactions on Pattern Analysis and Machince Intelligence doi: 10.1109/TPAMI.2012.23 – volume: 37 start-page: 1089 issue: 12 year: 2008 ident: 1084_CR60 publication-title: International Journal of Oral and Maxillofacial Surgery doi: 10.1016/j.ijom.2008.06.011 – volume: 16 start-page: 1259 issue: 6 year: 2012 ident: 1084_CR40 publication-title: Medical Image Analysis doi: 10.1016/j.media.2012.04.006 – ident: 1084_CR43 doi: 10.1109/CVPR.2015.7298631 – volume: 22 start-page: 21 issue: 13 year: 2002 ident: 1084_CR61 publication-title: Computational Geometry. 16th ACM Symposium on Computational Geometry doi: 10.1016/S0925-7721(01)00047-5 – ident: 1084_CR19 doi: 10.1007/978-3-540-88688-4_44 – volume: 33 start-page: 1633 issue: 8 year: 2011 ident: 1084_CR26 publication-title: IEEE Transactions on Pattern Analysis and Machince Intelligence doi: 10.1109/TPAMI.2010.223 – volume: 33 start-page: 1065 issue: 5 year: 2011 ident: 1084_CR7 publication-title: IEEE Transactions on Pattern Analysis and Machince Intelligence doi: 10.1109/TPAMI.2010.210 – ident: 1084_CR38 doi: 10.1109/DICTA.2011.14 – volume: 45 start-page: 1717 issue: 9 year: 2015 ident: 1084_CR64 publication-title: IEEE Transactions on Cybernetics doi: 10.1109/TCYB.2014.2359056 – ident: 1084_CR74 doi: 10.1109/3DV.2013.33 – volume: 21 start-page: 977 issue: 11 year: 2003 ident: 1084_CR80 publication-title: Image and Vision Computing doi: 10.1016/S0262-8856(03)00137-9 – volume: 32 start-page: 2262 issue: 12 year: 2010 ident: 1084_CR41 publication-title: IEEE Transactions on Pattern Analysis and Machince Intelligence doi: 10.1109/TPAMI.2010.46 – ident: 1084_CR51 – ident: 1084_CR11 doi: 10.1007/3-540-48714-X_17 – ident: 1084_CR72 doi: 10.1109/CVPR.2007.383291 – ident: 1084_CR2 doi: 10.1109/ICCVW.2011.6130444 – volume: 11 start-page: 567 issue: 6 year: 1989 ident: 1084_CR5 publication-title: IEEE Transactions on Pattern Analysis and Machince Intelligence doi: 10.1109/34.24792 – volume-title: Markov random field modeling in image analysis year: 2009 ident: 1084_CR31 doi: 10.1007/978-1-84800-279-1 – volume: 28 start-page: 1383 issue: 5 year: 2009 ident: 1084_CR65 publication-title: Computer Graphics Forum doi: 10.1111/j.1467-8659.2009.01515.x  | 
    
| SSID | ssj0002823 | 
    
| Score | 2.26332 | 
    
| Snippet | A novel region-based approach is proposed to find a thin plate spline map between a pair of deformable 3D objects represented by triangular surface meshes. The... | 
    
| SourceID | proquest gale crossref springer  | 
    
| SourceType | Aggregation Database Index Database Publisher  | 
    
| StartPage | 1220 | 
    
| SubjectTerms | Artificial Intelligence Brain Computational efficiency Computer graphics Computer Imaging Computer Science Computing time Deformation Feature extraction Formability Image Processing and Computer Vision Integral equations Linear functions Pattern Recognition Pattern Recognition and Graphics Thin plates Vision Vision systems  | 
    
| SummonAdditionalLinks | – databaseName: SpringerLink Journals (ICM) dbid: U2A link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3dS8MwEA86X3zxW6xOKSIISqUfSds8FtmYwnzQDfYW0iaZgnSydv-_d13jmB8PvibXUC6Xu19yye8IueKphg6de6yIfI8Wie_xROUeoFMkY6Gpbo4Ghk_xYEwfJ2zSvuOu7G13m5JsPPXqsVsQYs4xQDrSlHp0k2wxZPMCIx6H2Zf7hT3Esn487ItYzAObyvxtiLVg9N0l_8iNNiGnv0d2WqzoZsvJ3Scbujwguy1udNtVWUGTLc1g2w7JXQ9QMXzmZu9v0ybh786MOwJrK7H2PEgu5kYW2h3q6lVXR2Tc743uB15bGsErIOzUnjTS54aDb0olbMkkT_M0SeJAaxYbzKwwZWSujKLK0MIEvkqLRAW5isJC42nPMemUs1KfEDfGgt5xGppcAbxTCUAECYOyKJQaopd0yI3VkfhYMmCIFdcxKlSAQpFolArqkEvUokBmiRKvrkzloqrEw8uzyBiLkBrG5w65boXMrJ7LQrYvAeB_kIxqTbJrZ0O0a6sSIUIiyhMeOuTWztCq-89_O_2X9BnZDhtDwdOWLunU84U-B_xR5xeNvX0CmDTPSQ priority: 102 providerName: Springer Nature  | 
    
| Title | Elastic Alignment of Triangular Surface Meshes | 
    
| URI | https://link.springer.com/article/10.1007/s11263-018-1084-4 https://www.proquest.com/docview/2028349792  | 
    
| Volume | 126 | 
    
| hasFullText | 1 | 
    
| inHoldings | 1 | 
    
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVEBS databaseName: EBSCOhost Academic Search Ultimate customDbUrl: https://search.ebscohost.com/login.aspx?authtype=ip,shib&custid=s3936755&profile=ehost&defaultdb=asn eissn: 1573-1405 dateEnd: 20241102 omitProxy: true ssIdentifier: ssj0002823 issn: 0920-5691 databaseCode: ABDBF dateStart: 20030401 isFulltext: true titleUrlDefault: https://search.ebscohost.com/direct.asp?db=asn providerName: EBSCOhost – providerCode: PRVEBS databaseName: Inspec with Full Text customDbUrl: eissn: 1573-1405 dateEnd: 20241102 omitProxy: false ssIdentifier: ssj0002823 issn: 0920-5691 databaseCode: ADMLS dateStart: 19870101 isFulltext: true titleUrlDefault: https://www.ebsco.com/products/research-databases/inspec-full-text providerName: EBSCOhost – providerCode: PRVLSH databaseName: SpringerLink Journals customDbUrl: mediaType: online eissn: 1573-1405 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0002823 issn: 0920-5691 databaseCode: AFBBN dateStart: 19970101 isFulltext: true providerName: Library Specific Holdings – providerCode: PRVPQU databaseName: ProQuest Central customDbUrl: http://www.proquest.com/pqcentral?accountid=15518 eissn: 1573-1405 dateEnd: 20241102 omitProxy: true ssIdentifier: ssj0002823 issn: 0920-5691 databaseCode: BENPR dateStart: 19970101 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Technology Collection customDbUrl: eissn: 1573-1405 dateEnd: 20241102 omitProxy: true ssIdentifier: ssj0002823 issn: 0920-5691 databaseCode: 8FG dateStart: 19970101 isFulltext: true titleUrlDefault: https://search.proquest.com/technologycollection1 providerName: ProQuest – providerCode: PRVAVX databaseName: SpringerLINK - Czech Republic Consortium customDbUrl: eissn: 1573-1405 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0002823 issn: 0920-5691 databaseCode: AGYKE dateStart: 19970101 isFulltext: true titleUrlDefault: http://link.springer.com providerName: Springer Nature – providerCode: PRVAVX databaseName: SpringerLink Journals (ICM) customDbUrl: eissn: 1573-1405 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0002823 issn: 0920-5691 databaseCode: U2A dateStart: 19970101 isFulltext: true titleUrlDefault: http://www.springerlink.com/journals/ providerName: Springer Nature  | 
    
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1bixMxFD7sti--eBeraxlEEJTIXDIzyYPIKO2uyhZZt7A-hUwuu4JM1077_z1nmlhW0dckE4bk5FyT7wN4IYXDDtey0hQp46ZOmaxty9A7JTAWLtyQGjhdVCdL_umivDiARXwLQ9cqo04cFLVdGcqRU5AuCi5rmb-7_smINYqqq5FCQwdqBft2gBg7hHFOyFgjGL-fLb6c_dbNGGDsyOUxaCormcU65_CYLsupppkR3KngjN-wVH_q678Kp4M9mt-F28GRTJrdzt-DA9fdhzvBqUzCke2xKfI2xLYH8GaGLjN-ljQ_vl8OtwGSlU_OURQ7IqbHkdu118Ylp66_cv1DWM5n5x9OWOBNYAZt0oZpr1PpJSouoTFe01K0oq6rzLmy8lR2Ka3XrfWWW8-Nz1IrTG2z1ha5cZQKegSjbtW5x5BUxPZdidy3Fn0_W6P_oHHSssi1Q9OmJ_AqrpG63sFjqD0QMi2owgUlFFKu-ASe0yoqgp3o6F7Lpd72vfr49Uw1ZVkQbkwqJ_AyDPKrzVobHZ4J4P8QUtWNkUdxN1Q4eL3ai8kEXscd2nf_89-e_H-yp3ArHySDci9HMNqst-4ZeiObdgqHYn48hXFz_O3zbBoEDluXefML7nncvg | 
    
| linkProvider | ProQuest | 
    
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1LbxMxEB6V9AAX3ohAAQuBkEBG-_A-fKhQgFQJbSLUplJvxutHQEKbkk2E-HP8NmY2XqKC4NarvWtZ4_E8PDPfADyTpcMJV_HMpBEXpoi4LGzF0TolMBZRuvZpYDLNR6fiw1l2tgM_u1oYSqvsZGIrqO3C0Bs5OellKmQhkzfn3zh1jaLoatdCQ4fWCna_hRgLhR2H7sd3dOGa_fF7PO_nSXIwnL0b8dBlgBuU4CuuvY6kl3jNS43ejZZlVRbo3DuX5Z6CFJn1urLeCuuF8XFkS1PYuLJpYhw9nOC6V2BX0OZ6sPt2OP14_FsXoEOzaWaPTlqWy7iLq7bFe3FCMdSY4FVLwcUFzfinfvgrUNvqv4ObcD0Yrmyw4bRbsOPq23AjGLEsiIgGh7o-Ed3YHXg9RBMdf2ODr1_mbfYBW3g2Q9av55QFy07WS6-NYxPXfHbNXTi9FAreg169qN19YDl1F8_LxFcWbU1boL2icdEsTbRDVar78LKjkTrfwHGoLfAyEVQhQQn1VCjRh6dERUUwFzXl0cz1umnU-ORYDbIsJZyaSPbhRfjIL1ZLbXQoS8D9EDLWhS_3utNQ4aI3asuWfXjVndB2-p97e_D_xZ7A1dFscqSOxtPDh3AtabmE3n32oLdart0jtIRW1ePAbgw-XTaH_wJEmhkC | 
    
| linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV3daxQxEB9qBfHFb-lp1SCKoMTuR3Y3eRA5bM-etUVsC32L2XycguzV2ztK_zX_Omf2Nh5V9K2vyW4Ik18yM5nJbwCeKemxw9e8sHnCha0SripXc7ROiYxFSN9dDewflLvH4sNJcbIGP-NbGEqrjGdid1C7qaU7cnLSZS5UpbKt0KdFfNoevT39wamCFEVaYzmNJUT2_PkZum_tm_E2rvXzLBvtHL3b5X2FAW7x9J5zE0yigsItLg16NkbJWlbo2HtflIECFIULpnbBCReEDWnipK1cWrs8s54uTXDcK3C1IhZ3eqU-ev9bC6Arsyxjj-5ZUao0RlS7Z3tpRtHTlIhVpeDigk78UzP8FaLtNN_oFtzoTVY2XGLsNqz55g7c7M1X1h8OLTbFChGx7S683kHjHH9jw-_fJl3eAZsGdoSgbyaU_8oOF7NgrGf7vv3q23twfCnyuw_rzbTxG8BKqiteyizUDq1MV6GlYnDQIs-MRyVqBvAyykifLok49IpymQSqUaDEdyq0GMBTkqImgouGoDIxi7bV48PPelgUOTHUJGoAL_qPwnQ-M9b0DxJwPsSJdeHLzbgaut_irV4BcgCv4gqtuv85twf_H-wJXENc64_jg72HcD3rQEIXPpuwPp8t_CM0geb14w5rDL5cNrh_AY7lFpw | 
    
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Elastic+Alignment+of+Triangular+Surface+Meshes&rft.jtitle=International+journal+of+computer+vision&rft.au=S%C3%A1nta%2C+Zsolt&rft.au=Kato%2C+Zoltan&rft.date=2018-11-01&rft.pub=Springer+Nature+B.V&rft.issn=0920-5691&rft.eissn=1573-1405&rft.volume=126&rft.issue=11&rft.spage=1220&rft.epage=1244&rft_id=info:doi/10.1007%2Fs11263-018-1084-4&rft.externalDBID=HAS_PDF_LINK | 
    
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0920-5691&client=summon | 
    
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0920-5691&client=summon | 
    
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0920-5691&client=summon |