Hand gesture recognition using topological features
Hand Gestures Recognition (HGR) is one of the main areas of research for Human Computer Interaction applications. Most existing approaches are based on local or geometrical properties of pixels. Still, there are some serious challenges on HGR methods such as sensitivity to rotation, scale, illuminat...
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| Published in | Multimedia tools and applications Vol. 78; no. 10; pp. 13361 - 13386 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
New York
Springer US
01.05.2019
Springer Nature B.V |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1380-7501 1573-7721 |
| DOI | 10.1007/s11042-019-7269-1 |
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| Abstract | Hand Gestures Recognition (HGR) is one of the main areas of research for Human Computer Interaction applications. Most existing approaches are based on local or geometrical properties of pixels. Still, there are some serious challenges on HGR methods such as sensitivity to rotation, scale, illumination, perturbation, and occlusion. In this paper, we study HGR from graph viewpoints. We introduce a set of meaningful shape features based on a graph constructed by Growing Neural Gas (GNG) algorithm. These features are constructed from topological properties of this graph. Graph properties in conserving topological features improve stability against different deformations, scale, and noise. We evaluate our method on NTU Hand Digits dataset with state-of-the-art methods. We also prepared a comprehensive dataset (SBU-1) for different hand gestures containing 2170 images. This dataset includes many possible deformations and variations and some articulations. Most of the existing datasets don’t capture these variations. We show the robustness of the algorithm to scale, rotation and noise, while preserving similar recognition rate in comparison with the state-of-the-art results. |
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| AbstractList | Hand Gestures Recognition (HGR) is one of the main areas of research for Human Computer Interaction applications. Most existing approaches are based on local or geometrical properties of pixels. Still, there are some serious challenges on HGR methods such as sensitivity to rotation, scale, illumination, perturbation, and occlusion. In this paper, we study HGR from graph viewpoints. We introduce a set of meaningful shape features based on a graph constructed by Growing Neural Gas (GNG) algorithm. These features are constructed from topological properties of this graph. Graph properties in conserving topological features improve stability against different deformations, scale, and noise. We evaluate our method on NTU Hand Digits dataset with state-of-the-art methods. We also prepared a comprehensive dataset (SBU-1) for different hand gestures containing 2170 images. This dataset includes many possible deformations and variations and some articulations. Most of the existing datasets don’t capture these variations. We show the robustness of the algorithm to scale, rotation and noise, while preserving similar recognition rate in comparison with the state-of-the-art results. |
| Author | Mirehi, Narges Targhi, Alireza Tavakoli Tahmasbi, Maryam |
| Author_xml | – sequence: 1 givenname: Narges surname: Mirehi fullname: Mirehi, Narges organization: Department of Computer Science, Shahid Beheshti University – sequence: 2 givenname: Maryam surname: Tahmasbi fullname: Tahmasbi, Maryam email: m_tahmasbi@sbu.ac.ir organization: Department of Computer Science, Shahid Beheshti University – sequence: 3 givenname: Alireza Tavakoli surname: Targhi fullname: Targhi, Alireza Tavakoli organization: Department of Computer Science, Shahid Beheshti University |
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| Cites_doi | 10.1109/79.924889 10.1016/j.eswa.2005.11.018 10.1007/s11554-013-0333-6 10.1016/j.gaitpost.2006.09.012 10.1016/j.cviu.2007.08.003 10.1109/TPAMI.2005.17 10.1109/34.993558 10.1016/j.patcog.2016.11.022 10.1016/j.imavis.2008.03.004 10.1109/TIM.2015.2498560 10.1016/j.patcog.2012.09.015 10.1007/s11042-016-4223-3 10.1016/j.jvcir.2016.04.015 10.1016/j.ins.2018.02.024 10.1007/978-3-662-04245-8 10.1016/j.patcog.2013.01.033 10.1007/s10462-012-9356-9 10.1109/TPAMI.2008.167 10.1007/s00371-007-0202-z 10.1016/j.image.2017.06.015 10.1109/TPAMI.2004.68 10.1016/j.ymssp.2014.04.022 10.1016/j.patcog.2016.09.016 10.1016/j.engappai.2009.03.008 10.1016/j.patcog.2016.01.011 10.1007/s11063-015-9421-x 10.1016/j.engappai.2014.06.006 10.1109/TMM.2013.2246148 10.1007/s00138-013-0576-z 10.1109/TPAMI.2007.70769 10.1016/j.cviu.2015.07.009 10.1016/j.patrec.2013.09.003 10.1023/A:1008102926703 10.1109/ICIG.2011.166 10.1109/AFGR.2002.1004173 10.1007/978-3-642-17881-8_5 10.1145/2072298.2071946 10.5244/C.25.75 10.1145/1294211.1294238 10.1007/978-1-84628-970-5 10.1109/AFGR.2000.840674 10.1109/ICCVW.2011.6130290 10.1109/ICSIPA.2011.6144164 10.1109/AFGR.2002.1004190 10.1109/FG.2013.6553754 |
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| Keywords | Adjacency matrix Topological features Growing Neural Gas algorithm Linear Discriminant Analysis (LDA) NTU Hand Digits dataset Hand gesture recognition |
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| References | Molina, Pajuelo, Escudero-Vi nolo, Bescós, Martínez (CR29) 2014; 25 Stergiopoulou, Papamarkos (CR44) 2009; 22 Fink, Zio, Weidmann (CR13) 2015; 50 CR39 Memo, Zanuttigh (CR27) 2018; 77 Li, Wang, Liu, Feng (CR22) 2018; 441 Wang, Liu, Zhu, Zhao, Chan (CR48) 2017; 58 Liu, Kehtarnavaz (CR23) 2016; 11 CR31 Kim, Cipolla (CR19) 2009; 31 Bourke, Obrien, Lyons (CR4) 2007; 26 Li, Zhang (CR21) 2004; 26 CR3 CR6 CR5 CR8 Stergiopoulou, Sgouropoulos, Nikolaou, Papamarkos, Mitianoudis (CR45) 2014; 35 CR49 CR47 Rautaray, Agrawal (CR40) 2015; 43 CR41 De Berg, Van Kreveld, Overmars, Schwarzkopf (CR9) 2000 Orts-Escolano, Garcia-Rodriguez, Morell, Cazorla, Perez, Garcia-Garcia (CR33) 2016; 43 Nai, Liu, Rempel, Wang (CR32) 2017; 65 Peng, Zhang, Zhang (CR35) 2013; 46 Kirac, Kara, Akarun (CR18) 2014; 50 Pattanaworapan, Chamnongthai, Guo (CR34) 2016; 38 Wu, Huang (CR51) 2001; 18 Priyal, Bora (CR38) 2013; 46 Plouffe, Cretu (CR37) 2016; 65 CR17 Bai, Latecki (CR1) 2008; 30 CR15 CR12 CR11 CR10 Ren, Yuan, Meng, Zhang (CR42) 2013; 15 Belongie, Malik, Puzicha (CR2) 2002; 24 Holdstein, Fischer (CR16) 2008; 24 CR53 CR52 CR50 Cheng, Dai, Liu, Zhao (CR7) 2016; 55 Zhang, Fritts, Goldman (CR54) 2008; 110 Munib, Habeeb, Takruri, Al-Malik (CR30) 2007; 32 Maqueda, del-Blanco, Jaureguizar, García (CR25) 2015; 141 CR28 CR26 CR24 Phung, Bouzerdoum, Chai (CR36) 2005; 27 CR20 Ge, Yang, Lee (CR14) 2008; 26 Sun, Liu, Harada (CR46) 2017; 64 Siddiqi, Shokoufandeh, Dickinson, Zucker (CR43) 1999; 35 E Stergiopoulou (7269_CR45) 2014; 35 7269_CR8 AI Maqueda (7269_CR25) 2015; 141 Z Ren (7269_CR42) 2013; 15 7269_CR5 G Plouffe (7269_CR37) 2016; 65 K Liu (7269_CR23) 2016; 11 7269_CR6 7269_CR39 7269_CR3 7269_CR31 O Fink (7269_CR13) 2015; 50 H Cheng (7269_CR7) 2016; 55 K Siddiqi (7269_CR43) 1999; 35 F Kirac (7269_CR18) 2014; 50 J Molina (7269_CR29) 2014; 25 7269_CR49 7269_CR47 W Nai (7269_CR32) 2017; 65 7269_CR41 Y Li (7269_CR22) 2018; 441 K Pattanaworapan (7269_CR34) 2016; 38 E Stergiopoulou (7269_CR44) 2009; 22 H Zhang (7269_CR54) 2008; 110 X Bai (7269_CR1) 2008; 30 C Wang (7269_CR48) 2017; 58 S Li (7269_CR21) 2004; 26 7269_CR15 7269_CR17 7269_CR12 7269_CR11 A Memo (7269_CR27) 2018; 77 7269_CR52 Q Sun (7269_CR46) 2017; 64 7269_CR10 7269_CR53 7269_CR50 S Orts-Escolano (7269_CR33) 2016; 43 TK Kim (7269_CR19) 2009; 31 Y Holdstein (7269_CR16) 2008; 24 Q Munib (7269_CR30) 2007; 32 M Berg De (7269_CR9) 2000 SS Ge (7269_CR14) 2008; 26 7269_CR26 7269_CR28 7269_CR24 Y Wu (7269_CR51) 2001; 18 7269_CR20 SP Priyal (7269_CR38) 2013; 46 A Bourke (7269_CR4) 2007; 26 B Peng (7269_CR35) 2013; 46 SL Phung (7269_CR36) 2005; 27 S Belongie (7269_CR2) 2002; 24 SS Rautaray (7269_CR40) 2015; 43 |
| References_xml | – volume: 18 start-page: 51 issue: 3 year: 2001 end-page: 60 ident: CR51 article-title: Hand modeling, analysis and recognition publication-title: IEEE Signal Process Mag doi: 10.1109/79.924889 – ident: CR49 – volume: 32 start-page: 24 issue: 1 year: 2007 end-page: 37 ident: CR30 article-title: American sign language (asl) recognition based on hough transform and neural networks publication-title: Exp Syst Appl doi: 10.1016/j.eswa.2005.11.018 – ident: CR39 – volume: 11 start-page: 201 issue: 1 year: 2016 end-page: 209 ident: CR23 article-title: Real-time robust vision-based hand gesture recognition using stereo images publication-title: J Real-Time Image Proc doi: 10.1007/s11554-013-0333-6 – ident: CR12 – volume: 26 start-page: 194 issue: 2 year: 2007 end-page: 199 ident: CR4 article-title: Evaluation of a threshold-based tri-axial accelerometer fall detection algorithm publication-title: Gait Posture doi: 10.1016/j.gaitpost.2006.09.012 – volume: 110 start-page: 260 issue: 2 year: 2008 end-page: 280 ident: CR54 article-title: Image segmentation evaluation: a survey of unsupervised methods publication-title: Comput Vis Image Underst doi: 10.1016/j.cviu.2007.08.003 – volume: 27 start-page: 148 issue: 1 year: 2005 end-page: 154 ident: CR36 article-title: Skin segmentation using color pixel classification: analysis and comparison publication-title: IEEE Trans Pattern Anal Mach Intell doi: 10.1109/TPAMI.2005.17 – volume: 24 start-page: 509 issue: 4 year: 2002 end-page: 522 ident: CR2 article-title: Shape matching and object recognition using shape contexts publication-title: IEEE Trans Pattern Anal Mach Intell doi: 10.1109/34.993558 – volume: 65 start-page: 1 year: 2017 end-page: 10 ident: CR32 article-title: Fast hand posture classification using depth features extracted from random line segments publication-title: Pattern Recogn doi: 10.1016/j.patcog.2016.11.022 – ident: CR8 – volume: 26 start-page: 1607 issue: 12 year: 2008 end-page: 1620 ident: CR14 article-title: Hand gesture recognition and tracking based on distributed locally linear embedding publication-title: Image Vis Comput doi: 10.1016/j.imavis.2008.03.004 – volume: 65 start-page: 305 issue: 2 year: 2016 end-page: 16 ident: CR37 article-title: Static and dynamic hand gesture recognition in depth data using dynamic time warping publication-title: IEEE Trans Instrum Meas doi: 10.1109/TIM.2015.2498560 – volume: 46 start-page: 1020 issue: 3 year: 2013 end-page: 1038 ident: CR35 article-title: A survey of graph theoretical approaches to image segmentation publication-title: Pattern Recogn doi: 10.1016/j.patcog.2012.09.015 – volume: 77 start-page: 27 issue: 1 year: 2018 end-page: 53 ident: CR27 article-title: Head-mounted gesture controlled interface for human-computer interaction publication-title: Multimed Tools Appl doi: 10.1007/s11042-016-4223-3 – volume: 38 start-page: 658 year: 2016 end-page: 677 ident: CR34 article-title: Signer-independence finger alphabet recognition using discrete wavelet transform and area level run lengths publication-title: J Vis Commun Image Represent doi: 10.1016/j.jvcir.2016.04.015 – ident: CR15 – volume: 441 start-page: 66 year: 2018 end-page: 78 ident: CR22 article-title: Deep attention network for joint hand gesture localization and recognition using static RGB-D images publication-title: Inf Sci doi: 10.1016/j.ins.2018.02.024 – ident: CR50 – ident: CR11 – year: 2000 ident: CR9 publication-title: Computational geometry doi: 10.1007/978-3-662-04245-8 – volume: 46 start-page: 2202 issue: 8 year: 2013 end-page: 2219 ident: CR38 article-title: A robust static hand gesture recognition system using geometry based normalizations and Krawtchouk moments publication-title: Pattern Recogn doi: 10.1016/j.patcog.2013.01.033 – volume: 43 start-page: 1 issue: 1 year: 2015 end-page: 54 ident: CR40 article-title: Vision based hand gesture recognition for human computer interaction: a survey publication-title: Artif Intell Rev doi: 10.1007/s10462-012-9356-9 – ident: CR5 – volume: 31 start-page: 1415 issue: 8 year: 2009 end-page: 1428 ident: CR19 article-title: Canonical correlation analysis of video volume tensors for action categorization and detection publication-title: IEEE Trans Pattern Anal Mach Intell doi: 10.1109/TPAMI.2008.167 – volume: 24 start-page: 295 issue: 4 year: 2008 end-page: 302 ident: CR16 article-title: Three-dimensional surface reconstruction using meshing growing neural gas (MGNG) publication-title: Vis Comput doi: 10.1007/s00371-007-0202-z – volume: 58 start-page: 87 year: 2017 end-page: 98 ident: CR48 article-title: A hand gesture recognition system based on canonical superpixel-graph publication-title: Signal Process Image Commun doi: 10.1016/j.image.2017.06.015 – ident: CR26 – volume: 26 start-page: 1112 issue: 9 year: 2004 end-page: 1123 ident: CR21 article-title: Floatboost learning and statistical face detection publication-title: IEEE Trans Pattern Anal Mach Intell doi: 10.1109/TPAMI.2004.68 – volume: 50 start-page: 427 year: 2015 end-page: 436 ident: CR13 article-title: Novelty detection by multivariate kernel density estimation and growing neural gas algorithm publication-title: Mech Syst Signal Process doi: 10.1016/j.ymssp.2014.04.022 – ident: CR47 – volume: 64 start-page: 187 year: 2017 end-page: 201 ident: CR46 article-title: Online growing neural gas for anomaly detection in changing surveillance scenes publication-title: Pattern Recogn doi: 10.1016/j.patcog.2016.09.016 – ident: CR53 – ident: CR10 – ident: CR6 – volume: 22 start-page: 1141 issue: 8 year: 2009 end-page: 1158 ident: CR44 article-title: Hand gesture recognition using a neural network shape fitting technique publication-title: Eng Appl Artif Intell doi: 10.1016/j.engappai.2009.03.008 – volume: 55 start-page: 137 year: 2016 end-page: 147 ident: CR7 article-title: An image-to-class dynamic time warping approach for both 3d static and trajectory hand gesture recognition publication-title: Pattern Recognit doi: 10.1016/j.patcog.2016.01.011 – volume: 43 start-page: 401 issue: 2 year: 2016 end-page: 423 ident: CR33 article-title: 3d surface reconstruction of noisy point clouds using growing neural gas: 3d object/scene reconstruction publication-title: Neural Process Lett doi: 10.1007/s11063-015-9421-x – volume: 35 start-page: 54 year: 2014 end-page: 70 ident: CR45 article-title: Real time hand detection in a complex background publication-title: Eng Appl Artif Intell doi: 10.1016/j.engappai.2014.06.006 – volume: 15 start-page: 1110 issue: 5 year: 2013 end-page: 20 ident: CR42 article-title: Robust part-based hand gesture recognition using kinect sensor publication-title: IEEE Trans Multimedia doi: 10.1109/TMM.2013.2246148 – ident: CR3 – ident: CR52 – ident: CR17 – ident: CR31 – volume: 25 start-page: 943 issue: 4 year: 2014 end-page: 954 ident: CR29 article-title: A natural and synthetic corpus for benchmarking of hand gesture recognition systems publication-title: Mach Vis Appl doi: 10.1007/s00138-013-0576-z – volume: 30 start-page: 1282 issue: 7 year: 2008 end-page: 1292 ident: CR1 article-title: Path similarity skeleton graph matching publication-title: IEEE Trans Pattern Anal Mach Intell doi: 10.1109/TPAMI.2007.70769 – volume: 141 start-page: 126 year: 2015 end-page: 37 ident: CR25 article-title: Human–computer interaction based on visual hand-gesture recognition using volumetric spatiograms of local binary patterns publication-title: Comput Vis Image Underst doi: 10.1016/j.cviu.2015.07.009 – volume: 50 start-page: 91 year: 2014 end-page: 100 ident: CR18 article-title: Hierarchically constrained 3D hand pose estimation using regression forests from single frame depth data publication-title: Pattern Recogn Lett doi: 10.1016/j.patrec.2013.09.003 – ident: CR28 – ident: CR41 – ident: CR24 – volume: 35 start-page: 13 issue: 1 year: 1999 end-page: 32 ident: CR43 article-title: Shock graphs and shape matching publication-title: Int J Comput Vis doi: 10.1023/A:1008102926703 – ident: CR20 – ident: 7269_CR17 – ident: 7269_CR52 doi: 10.1109/ICIG.2011.166 – volume: 46 start-page: 1020 issue: 3 year: 2013 ident: 7269_CR35 publication-title: Pattern Recogn doi: 10.1016/j.patcog.2012.09.015 – ident: 7269_CR11 doi: 10.1109/AFGR.2002.1004173 – volume: 26 start-page: 194 issue: 2 year: 2007 ident: 7269_CR4 publication-title: Gait Posture doi: 10.1016/j.gaitpost.2006.09.012 – volume: 46 start-page: 2202 issue: 8 year: 2013 ident: 7269_CR38 publication-title: Pattern Recogn doi: 10.1016/j.patcog.2013.01.033 – ident: 7269_CR6 doi: 10.1007/978-3-642-17881-8_5 – ident: 7269_CR41 doi: 10.1145/2072298.2071946 – volume: 31 start-page: 1415 issue: 8 year: 2009 ident: 7269_CR19 publication-title: IEEE Trans Pattern Anal Mach Intell doi: 10.1109/TPAMI.2008.167 – volume: 43 start-page: 1 issue: 1 year: 2015 ident: 7269_CR40 publication-title: Artif Intell Rev doi: 10.1007/s10462-012-9356-9 – volume: 25 start-page: 943 issue: 4 year: 2014 ident: 7269_CR29 publication-title: Mach Vis Appl doi: 10.1007/s00138-013-0576-z – volume: 65 start-page: 305 issue: 2 year: 2016 ident: 7269_CR37 publication-title: IEEE Trans Instrum Meas doi: 10.1109/TIM.2015.2498560 – ident: 7269_CR28 doi: 10.5244/C.25.75 – ident: 7269_CR10 – volume: 58 start-page: 87 year: 2017 ident: 7269_CR48 publication-title: Signal Process Image Commun doi: 10.1016/j.image.2017.06.015 – volume: 35 start-page: 13 issue: 1 year: 1999 ident: 7269_CR43 publication-title: Int J Comput Vis doi: 10.1023/A:1008102926703 – ident: 7269_CR50 doi: 10.1145/1294211.1294238 – volume: 24 start-page: 509 issue: 4 year: 2002 ident: 7269_CR2 publication-title: IEEE Trans Pattern Anal Mach Intell doi: 10.1109/34.993558 – volume: 50 start-page: 91 year: 2014 ident: 7269_CR18 publication-title: Pattern Recogn Lett doi: 10.1016/j.patrec.2013.09.003 – volume: 65 start-page: 1 year: 2017 ident: 7269_CR32 publication-title: Pattern Recogn doi: 10.1016/j.patcog.2016.11.022 – volume: 35 start-page: 54 year: 2014 ident: 7269_CR45 publication-title: Eng Appl Artif Intell doi: 10.1016/j.engappai.2014.06.006 – volume: 26 start-page: 1112 issue: 9 year: 2004 ident: 7269_CR21 publication-title: IEEE Trans Pattern Anal Mach Intell doi: 10.1109/TPAMI.2004.68 – ident: 7269_CR49 – ident: 7269_CR20 – volume: 22 start-page: 1141 issue: 8 year: 2009 ident: 7269_CR44 publication-title: Eng Appl Artif Intell doi: 10.1016/j.engappai.2009.03.008 – volume: 110 start-page: 260 issue: 2 year: 2008 ident: 7269_CR54 publication-title: Comput Vis Image Underst doi: 10.1016/j.cviu.2007.08.003 – volume: 32 start-page: 24 issue: 1 year: 2007 ident: 7269_CR30 publication-title: Exp Syst Appl doi: 10.1016/j.eswa.2005.11.018 – ident: 7269_CR3 doi: 10.1007/978-1-84628-970-5 – volume: 441 start-page: 66 year: 2018 ident: 7269_CR22 publication-title: Inf Sci doi: 10.1016/j.ins.2018.02.024 – ident: 7269_CR24 doi: 10.1109/AFGR.2000.840674 – volume: 26 start-page: 1607 issue: 12 year: 2008 ident: 7269_CR14 publication-title: Image Vis Comput doi: 10.1016/j.imavis.2008.03.004 – volume: 50 start-page: 427 year: 2015 ident: 7269_CR13 publication-title: Mech Syst Signal Process doi: 10.1016/j.ymssp.2014.04.022 – volume-title: Computational geometry year: 2000 ident: 7269_CR9 doi: 10.1007/978-3-662-04245-8 – volume: 55 start-page: 137 year: 2016 ident: 7269_CR7 publication-title: Pattern Recognit doi: 10.1016/j.patcog.2016.01.011 – ident: 7269_CR39 doi: 10.1109/ICCVW.2011.6130290 – volume: 38 start-page: 658 year: 2016 ident: 7269_CR34 publication-title: J Vis Commun Image Represent doi: 10.1016/j.jvcir.2016.04.015 – volume: 11 start-page: 201 issue: 1 year: 2016 ident: 7269_CR23 publication-title: J Real-Time Image Proc doi: 10.1007/s11554-013-0333-6 – volume: 64 start-page: 187 year: 2017 ident: 7269_CR46 publication-title: Pattern Recogn doi: 10.1016/j.patcog.2016.09.016 – ident: 7269_CR12 – ident: 7269_CR31 doi: 10.1109/ICSIPA.2011.6144164 – volume: 18 start-page: 51 issue: 3 year: 2001 ident: 7269_CR51 publication-title: IEEE Signal Process Mag doi: 10.1109/79.924889 – ident: 7269_CR5 doi: 10.1109/AFGR.2002.1004190 – ident: 7269_CR8 – volume: 15 start-page: 1110 issue: 5 year: 2013 ident: 7269_CR42 publication-title: IEEE Trans Multimedia doi: 10.1109/TMM.2013.2246148 – ident: 7269_CR53 doi: 10.1109/FG.2013.6553754 – volume: 24 start-page: 295 issue: 4 year: 2008 ident: 7269_CR16 publication-title: Vis Comput doi: 10.1007/s00371-007-0202-z – volume: 43 start-page: 401 issue: 2 year: 2016 ident: 7269_CR33 publication-title: Neural Process Lett doi: 10.1007/s11063-015-9421-x – volume: 141 start-page: 126 year: 2015 ident: 7269_CR25 publication-title: Comput Vis Image Underst doi: 10.1016/j.cviu.2015.07.009 – ident: 7269_CR47 – ident: 7269_CR26 – volume: 77 start-page: 27 issue: 1 year: 2018 ident: 7269_CR27 publication-title: Multimed Tools Appl doi: 10.1007/s11042-016-4223-3 – volume: 30 start-page: 1282 issue: 7 year: 2008 ident: 7269_CR1 publication-title: IEEE Trans Pattern Anal Mach Intell doi: 10.1109/TPAMI.2007.70769 – volume: 27 start-page: 148 issue: 1 year: 2005 ident: 7269_CR36 publication-title: IEEE Trans Pattern Anal Mach Intell doi: 10.1109/TPAMI.2005.17 – ident: 7269_CR15 |
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