Texture Splicing
We propose a new texture editing operation called texture splicing. For this operation, we regard a texture as having repetitive elements (textons) seamlessly distributed in a particular pattern. Taking two textures as input, texture splicing generates a new texture by selecting the texton appearanc...
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| Published in | Computer graphics forum Vol. 28; no. 7; pp. 1907 - 1915 |
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| Main Authors | , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Oxford, UK
Blackwell Publishing Ltd
01.10.2009
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0167-7055 1467-8659 |
| DOI | 10.1111/j.1467-8659.2009.01569.x |
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| Abstract | We propose a new texture editing operation called texture splicing. For this operation, we regard a texture as having repetitive elements (textons) seamlessly distributed in a particular pattern. Taking two textures as input, texture splicing generates a new texture by selecting the texton appearance from one texture and distribution from the other. Texture splicing involves self‐similarity search to extract the distribution, distribution warping, context‐dependent warping, and finally, texture refinement to preserve overall appearance. We show a variety of results to illustrate this operation. |
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| AbstractList | We propose a new texture editing operation called texture splicing. For this operation, we regard a texture as having repetitive elements (textons) seamlessly distributed in a particular pattern. Taking two textures as input, texture splicing generates a new texture by selecting the texton appearance from one texture and distribution from the other. Texture splicing involves self‐similarity search to extract the distribution, distribution warping, context‐dependent warping, and finally, texture refinement to preserve overall appearance. We show a variety of results to illustrate this operation. We propose a new texture editing operation called texture splicing. For this operation, we regard a texture as having repetitive elements (textons) seamlessly distributed in a particular pattern. Taking two textures as input, texture splicing generates a new texture by selecting the texton appearance from one texture and distribution from the other. Texture splicing involves self-similarity search to extract the distribution, distribution warping, context-dependent warping, and finally, texture refinement to preserve overall appearance. We show a variety of results to illustrate this operation. [PUBLICATION ABSTRACT] |
| Author | Liu, Yiming Xue, Su Wang, Jiaping Kang, Sing Bing Tong, Xin Guo, Baining |
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| Cites_doi | 10.1109/34.41363 10.1109/ICCV.1999.790383 10.1007/11744047_40 10.1007/3-540-46805-6_10 10.1145/1141911.1141921 10.1515/9781400875184 10.1007/s11263-006-4068-8 10.1145/1073204.1073261 10.1007/BFb0015565 10.1109/TPAMI.2005.126 10.1145/218380.218446 10.1111/j.1467-8659.2009.01407.x 10.1145/1186822.1073262 10.1111/j.1467-8659.2009.01408.x 10.1038/333364a0 10.1145/383259.383295 10.1137/0105003 10.1145/566654.566632 10.1145/321694.321699 10.1109/TPAMI.2004.60 10.1145/1073204.1073263 10.1145/1201775.882266 10.1111/j.2517-6161.1989.tb01764.x 10.1145/1201775.882264 10.1145/383259.383296 10.1145/1186562.1015731 10.1109/ICCV.2007.4408926 10.1145/258734.258882 |
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| Copyright | 2009 The Author(s) Journal compilation © 2009 The Eurographics Association and Blackwell Publishing Ltd. 2009 The Eurographics Association and Blackwell Publishing Ltd. |
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| References | Greig D., Porteous B., Seheult A.: Exact maximum a posteriori estimation for binary images. Journal of the Royal Statistical Society. Series B (Methodological) 51, 2 (1989), 271-279. Ford L., Fulkerson D.: Flows in Networks. Princeton University Press, Princeton , NJ , 1962. Lefebvre S., Hoppe H.: Parallel controllable texture synthesis. ACM Transactions on Graphics, SIGGRAPH 2005 24, 3 (2005), 777-786. Schaffalitzky F., Zlsserman A.: Geometric grouping of repeated elements within images. In Shape, Contour and Grouping in Computer Vision LNCS 1681, 1-2 (1999), 165-181. Jafari-Khouzani K.: Radon transform orientation estimation for rotation invariant texture analysis. IEEE Trans. Pattern Anal. Mach Intell. 27, 6 (2005), 1004-1008. Okabe M., Ichi Anjyo K., Igarashi T., Seidel H.-P.: Animating pictures of fluid using video examples. Comput. Graph. Forum 28, 2 (2009), 677-686. Munkres J.: Algorithms for the Assignment and Transportation Problems. Journal of the Society for Industrial and Applied Mathematics 5, 1 (1957), 32-38. Liu Y., Lin W.-C., Hays J.: Near-regular texture analysis and manipulation. ACM Transactions on Graphics, SIGGRAPH 2004 23, 3 (2004), 368-376. Boykov Y., Kolmogorov V.: An experimental comparison of min-cut/max-flow algorithms for energy minimization in vision. IEEE Transactions on Pattern Analysis and Machine Intelligence 26, 9 (2004), 1124-1137. Lobay A., Forsyth D.: Shape from texture without boundaries. International Journal of Computer Vision 67, 1 (2006), 71-91. Lu J., Dorsey J., Rushmeier H. E.: Dominant texture and diffusion distance manifolds. Comput. Graph. Forum 28, 2 (2009), 667-676. Edmonds J., Karp R. M.: Theoretical improvements in algorithmic efficiency for network flow problems. Journal of ACM 19, 2 (1972), 248-264. Blostein D., Ahuja N.: Shape from texture: Integrating texture-element extraction and surface estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence 11, 12 (1989), 1233-1251. 2004; 26 2004; 23 1997 August 2001 2007 1996 1999; 1681 2006 1995 2005 2003 2002 2006; 2 2005; 27 1957; 5 1972; 2 2005; 24 1999 2009; 28 1989; 51 1989; 11 2001 2006; 67 August 1995 Sep 2002 1962 1988 e_1_2_7_5_2 e_1_2_7_4_2 e_1_2_7_3_2 e_1_2_7_2_2 e_1_2_7_9_2 e_1_2_7_8_2 e_1_2_7_7_2 e_1_2_7_6_2 e_1_2_7_19_2 e_1_2_7_18_2 e_1_2_7_17_2 e_1_2_7_16_2 e_1_2_7_15_2 e_1_2_7_14_2 e_1_2_7_13_2 e_1_2_7_12_2 e_1_2_7_11_2 e_1_2_7_10_2 e_1_2_7_26_2 e_1_2_7_27_2 e_1_2_7_28_2 e_1_2_7_29_2 e_1_2_7_25_2 e_1_2_7_24_2 e_1_2_7_30_2 e_1_2_7_23_2 e_1_2_7_31_2 e_1_2_7_22_2 e_1_2_7_32_2 e_1_2_7_21_2 e_1_2_7_33_2 e_1_2_7_20_2 |
| References_xml | – reference: Lefebvre S., Hoppe H.: Parallel controllable texture synthesis. ACM Transactions on Graphics, SIGGRAPH 2005 24, 3 (2005), 777-786. – reference: Okabe M., Ichi Anjyo K., Igarashi T., Seidel H.-P.: Animating pictures of fluid using video examples. Comput. Graph. Forum 28, 2 (2009), 677-686. – reference: Greig D., Porteous B., Seheult A.: Exact maximum a posteriori estimation for binary images. Journal of the Royal Statistical Society. Series B (Methodological) 51, 2 (1989), 271-279. – reference: Munkres J.: Algorithms for the Assignment and Transportation Problems. Journal of the Society for Industrial and Applied Mathematics 5, 1 (1957), 32-38. – reference: Ford L., Fulkerson D.: Flows in Networks. Princeton University Press, Princeton , NJ , 1962. – reference: Lobay A., Forsyth D.: Shape from texture without boundaries. International Journal of Computer Vision 67, 1 (2006), 71-91. – reference: Lu J., Dorsey J., Rushmeier H. E.: Dominant texture and diffusion distance manifolds. Comput. Graph. Forum 28, 2 (2009), 667-676. – reference: Edmonds J., Karp R. M.: Theoretical improvements in algorithmic efficiency for network flow problems. Journal of ACM 19, 2 (1972), 248-264. – reference: Blostein D., Ahuja N.: Shape from texture: Integrating texture-element extraction and surface estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence 11, 12 (1989), 1233-1251. – reference: Boykov Y., Kolmogorov V.: An experimental comparison of min-cut/max-flow algorithms for energy minimization in vision. IEEE Transactions on Pattern Analysis and Machine Intelligence 26, 9 (2004), 1124-1137. – reference: Jafari-Khouzani K.: Radon transform orientation estimation for rotation invariant texture analysis. IEEE Trans. Pattern Anal. Mach Intell. 27, 6 (2005), 1004-1008. – reference: Liu Y., Lin W.-C., Hays J.: Near-regular texture analysis and manipulation. ACM Transactions on Graphics, SIGGRAPH 2004 23, 3 (2004), 368-376. – reference: Schaffalitzky F., Zlsserman A.: Geometric grouping of repeated elements within images. In Shape, Contour and Grouping in Computer Vision LNCS 1681, 1-2 (1999), 165-181. – start-page: 653 year: 2002 end-page: 656 – volume: 5 start-page: 32 issue: 1 year: 1957 end-page: 38 article-title: Algorithms for the Assignment and Transportation Problems publication-title: Journal of the Society for Industrial and Applied Mathematics – start-page: 1 year: 2007 – start-page: 361 year: 1997 end-page: 368 – year: 1962 – start-page: 277 year: 2003 end-page: 286 – volume: 23 start-page: 368 issue: 3 year: 2004 end-page: 376 article-title: Near‐regular texture analysis and manipulation publication-title: ACM Transactions on Graphics, SIGGRAPH 2004 – volume: 67 start-page: 71 issue: 1 year: 2006 end-page: 91 article-title: Shape from texture without boundaries publication-title: International Journal of Computer Vision – volume: 2 start-page: 248 year: 1972 end-page: 264 article-title: Theoretical improvements in algorithmic efficiency for network flow problems publication-title: Journal of ACM 19 – start-page: 795 year: 2005 end-page: 802 – volume: 51 start-page: 271 issue: 2 year: 1989 end-page: 279 article-title: Exact maximum a posteriori estimation for binary images publication-title: Journal of the Royal Statistical Society. Series B (Methodological) – volume: 28 start-page: 667 issue: 2 year: 2009 end-page: 676 article-title: Dominant texture and diffusion distance manifolds publication-title: Comput. Graph. Forum – start-page: 1033 year: 1999 end-page: 1038 – start-page: 541 year: 2006 end-page: 548 – start-page: 247 year: 2001 end-page: 254 – start-page: 546 year: 1996 end-page: 555 – volume: 2 start-page: 522 year: 2006 end-page: 535 – start-page: 297 year: 2006 end-page: 303 – volume: 1681 start-page: 165 issue: 1‐2 year: 1999 end-page: 181 article-title: Geometric grouping of repeated elements within images publication-title: In Shape, Contour and Grouping in Computer Vision LNCS – start-page: 327 year: 2001 end-page: 340 – volume: 27 start-page: 1004 issue: 6 year: 2005 end-page: 1008 article-title: Radon transform orientation estimation for rotation invariant texture analysis publication-title: IEEE Trans. Pattern Anal. Mach Intell – start-page: 341 year: August 2001 end-page: 346 – start-page: 120 year: 1995 end-page: 123 – start-page: 364 year: 1988 end-page: 367 – start-page: 229 year: August 1995 end-page: 238 – volume: 11 start-page: 1233 issue: 12 year: 1989 end-page: 1251 article-title: Shape from texture: Integrating texture‐element extraction and surface estimation publication-title: IEEE Transactions on Pattern Analysis and Machine Intelligence – start-page: 295 year: 2003 end-page: 302 – volume: 28 start-page: 677 issue: 2 year: 2009 end-page: 686 article-title: Animating pictures of fluid using video examples publication-title: Comput. Graph. Forum – year: Sep 2002 – start-page: 787 year: 2005 end-page: 794 – volume: 24 start-page: 777 issue: 3 year: 2005 end-page: 786 article-title: Parallel controllable texture synthesis publication-title: ACM Transactions on Graphics, SIGGRAPH 2005 – volume: 26 start-page: 1124 issue: 9 year: 2004 end-page: 1137 article-title: An experimental comparison of min‐cut/max‐flow algorithms for energy minimization in vision publication-title: IEEE Transactions on Pattern Analysis and Machine Intelligence – ident: e_1_2_7_3_2 doi: 10.1109/34.41363 – ident: e_1_2_7_21_2 – ident: e_1_2_7_13_2 – ident: e_1_2_7_10_2 doi: 10.1109/ICCV.1999.790383 – ident: e_1_2_7_16_2 doi: 10.1007/11744047_40 – ident: e_1_2_7_30_2 doi: 10.1007/3-540-46805-6_10 – ident: e_1_2_7_24_2 doi: 10.1145/1141911.1141921 – ident: e_1_2_7_11_2 doi: 10.1515/9781400875184 – ident: e_1_2_7_22_2 doi: 10.1007/s11263-006-4068-8 – ident: e_1_2_7_23_2 doi: 10.1145/1073204.1073261 – ident: e_1_2_7_26_2 doi: 10.1007/BFb0015565 – ident: e_1_2_7_17_2 doi: 10.1109/TPAMI.2005.126 – ident: e_1_2_7_14_2 doi: 10.1145/218380.218446 – ident: e_1_2_7_20_2 doi: 10.1111/j.1467-8659.2009.01407.x – ident: e_1_2_7_28_2 doi: 10.1145/1186822.1073262 – ident: e_1_2_7_31_2 – ident: e_1_2_7_29_2 doi: 10.1111/j.1467-8659.2009.01408.x – ident: e_1_2_7_32_2 doi: 10.1038/333364a0 – ident: e_1_2_7_15_2 doi: 10.1145/383259.383295 – ident: e_1_2_7_27_2 doi: 10.1137/0105003 – ident: e_1_2_7_4_2 doi: 10.1145/566654.566632 – ident: e_1_2_7_9_2 doi: 10.1145/321694.321699 – ident: e_1_2_7_5_2 doi: 10.1109/TPAMI.2004.60 – ident: e_1_2_7_18_2 doi: 10.1145/1073204.1073263 – ident: e_1_2_7_33_2 doi: 10.1145/1201775.882266 – ident: e_1_2_7_12_2 doi: 10.1111/j.2517-6161.1989.tb01764.x – ident: e_1_2_7_19_2 doi: 10.1145/1201775.882264 – ident: e_1_2_7_8_2 doi: 10.1145/383259.383296 – ident: e_1_2_7_25_2 doi: 10.1145/1186562.1015731 – ident: e_1_2_7_2_2 doi: 10.1109/ICCV.2007.4408926 – ident: e_1_2_7_6_2 doi: 10.1145/258734.258882 – ident: e_1_2_7_7_2 |
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| SubjectTerms | 13.7 [Computer Graphics]: Three-Dimensional Graphics and Realism-Texture 3-D graphics Digital imaging Editing I.4.7 [Image Processing and Computer Vision]: Feature Measurement-Texture Image processing systems Studies |
| Title | Texture Splicing |
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