{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,23]],"date-time":"2026-10-23T23:31:33Z","timestamp":1792798293602,"version":"4.5.0"},"reference-count":25,"publisher":"Association for Computing Machinery (ACM)","issue":"3","license":[{"start":{"date-parts":[[2005,7,1]],"date-time":"2005-07-01T00:00:00Z","timestamp":1120176000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Graph."],"published-print":{"date-parts":[[2005,7]]},"abstract":"<jats:p>\n                    We introduce the SCAPE method (Shape Completion and Animation for PEople)---a data-driven method for building a human shape model that spans variation in both subject shape and pose. The method is based on a representation that incorporates both articulated and non-rigid deformations. We learn a\n                    <jats:italic>pose deformation model<\/jats:italic>\n                    that derives the non-rigid surface deformation as a function of the pose of the articulated skeleton. We also learn a separate model of variation based on body shape. Our two models can be combined to produce 3D surface models with realistic muscle deformation for different people in different poses, when neither appear in the training set. We show how the model can be used for\n                    <jats:italic>shape completion<\/jats:italic>\n                    --- generating a complete surface mesh given a limited set of markers specifying the target shape. We present applications of shape completion to partial view completion and motion capture animation. In particular, our method is capable of constructing a high-quality animated surface model of a moving person, with realistic muscle deformation, using just a single static scan and a marker motion capture sequence of the person.\n                  <\/jats:p>","DOI":"10.1145\/1073204.1073207","type":"journal-article","created":{"date-parts":[[2005,11,7]],"date-time":"2005-11-07T11:00:45Z","timestamp":1131361245000},"page":"408-416","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1073,"title":["SCAPE"],"prefix":"10.1145","volume":"24","author":[{"given":"Dragomir","family":"Anguelov","sequence":"first","affiliation":[{"name":"Stanford University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Praveen","family":"Srinivasan","sequence":"additional","affiliation":[{"name":"Stanford University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daphne","family":"Koller","sequence":"additional","affiliation":[{"name":"Stanford University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sebastian","family":"Thrun","sequence":"additional","affiliation":[{"name":"Stanford University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jim","family":"Rodgers","sequence":"additional","affiliation":[{"name":"Stanford University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"James","family":"Davis","sequence":"additional","affiliation":[{"name":"University of California, Santa Cruz"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2005,7]]},"reference":[{"key":"e_1_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/566654.566626"},{"key":"e_1_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/882262.882311"},{"key":"e_1_2_2_3_1","volume-title":"Proceedings of the 20th conference on Uncertainty in artificial intelligence, 18--26","author":"Anguelov D.","unstructured":"Anguelov , D. , Koller , D. , Pang , H. , Srinivasan , P. , and Thrun , S . 2004. Recovering articulated object models from 3D range data . In Proceedings of the 20th conference on Uncertainty in artificial intelligence, 18--26 . Anguelov, D., Koller, D., Pang, H., Srinivasan, P., and Thrun, S. 2004. Recovering articulated object models from 3D range data. In Proceedings of the 20th conference on Uncertainty in artificial intelligence, 18--26."},{"key":"e_1_2_2_4_1","first-page":"33","article-title":"The correlated correspondence algorithm for unsupervised registration of nonrigid surfaces","volume":"17","author":"Anguelov D.","year":"2005","unstructured":"Anguelov , D. , Srinivasan , P. , Koller , D. , Thrun , S. , Pang , H. , and Davis , J. 2005 . The correlated correspondence algorithm for unsupervised registration of nonrigid surfaces . In Advances in Neural Information Processing Systems 17 , 33 -- 40 . Anguelov, D., Srinivasan, P., Koller, D., Thrun, S., Pang, H., and Davis, J. 2005. The correlated correspondence algorithm for unsupervised registration of nonrigid surfaces. In Advances in Neural Information Processing Systems 17, 33--40.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_2_2_5_1","volume-title":"Conference on Computer Vision and Pattern Recognition (CVPR), 77--84","author":"Cheung K. M.","unstructured":"Cheung , K. M. , Baker , S. , and Kanade , T . 2003. Shape-from-silhouette of articulated objects and its use for human body kinematics estimation and motion capture . In Conference on Computer Vision and Pattern Recognition (CVPR), 77--84 . Cheung, K. M., Baker, S., and Kanade, T. 2003. Shape-from-silhouette of articulated objects and its use for human body kinematics estimation and motion capture. In Conference on Computer Vision and Pattern Recognition (CVPR), 77--84."},{"key":"e_1_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/237170.237269"},{"key":"e_1_2_2_7_1","volume-title":"Symposium on 3D Data Processing, Visualization, and Transmission.","author":"Davis J.","unstructured":"Davis , J. , Marschner , S. , Garr , M. , and Levoy , M . 2002. Filling holes in complex surfaces using volumetric diffusion . In Symposium on 3D Data Processing, Visualization, and Transmission. Davis, J., Marschner, S., Garr, M., and Levoy, M. 2002. Filling holes in complex surfaces using volumetric diffusion. In Symposium on 3D Data Processing, Visualization, and Transmission."},{"key":"e_1_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/258734.258849"},{"key":"e_1_2_2_9_1","volume-title":"Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI).","author":"H\u00e4hnel D.","unstructured":"H\u00e4hnel , D. , Thrun , S. , and Burgard , W . 2003. An extension of the ICP algorithm for modeling nonrigid objects with mobile robots . In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI). H\u00e4hnel, D., Thrun, S., and Burgard, W. 2003. An extension of the ICP algorithm for modeling nonrigid objects with mobile robots. In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI)."},{"key":"e_1_2_2_10_1","unstructured":"Hilton A. Starck J. and Collins G. 2002. From 3d shape capture to animated models. In First International Symposion on 3D Data Processing. Visualization and Transmission (3DVPT2002).  Hilton A. Starck J. and Collins G. 2002. From 3d shape capture to animated models. In First International Symposion on 3D Data Processing. Visualization and Transmission (3DVPT2002)."},{"key":"e_1_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/545261.545271"},{"key":"e_1_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/344779.344862"},{"key":"e_1_2_2_13_1","volume-title":"Proc. of the Eurographics\/ACM SIGGRAPH symposium on Geometry processing, 200--205","author":"Liepa P.","year":"2003","unstructured":"Liepa , P. 2003 . Filling holes in meshes . In Proc. of the Eurographics\/ACM SIGGRAPH symposium on Geometry processing, 200--205 . Liepa, P. 2003. Filling holes in meshes. In Proc. of the Eurographics\/ACM SIGGRAPH symposium on Geometry processing, 200--205."},{"key":"e_1_2_2_14_1","doi-asserted-by":"crossref","unstructured":"Ma Y. Soatto S. Kosecka J. and Sastry S. 2004. An Invitation to 3D Vision. Springer Verlag.  Ma Y. Soatto S. Kosecka J. and Sastry S. 2004. An Invitation to 3D Vision. 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In European Conference on Computer Vision (ECCV), 447--460 . Vasilescu, M., and Terzopoulos, D. 2002. Multilinear analysis of image ensembles: Tensorfaces. In European Conference on Computer Vision (ECCV), 447--460."},{"key":"e_1_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/1186223.1186293"},{"key":"e_1_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/545261.545283"}],"container-title":["ACM Transactions on Graphics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/1073204.1073207","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/1073204.1073207","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T12:07:45Z","timestamp":1750248465000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/1073204.1073207"}},"subtitle":["shape completion and animation of people"],"short-title":[],"issued":{"date-parts":[[2005,7]]},"references-count":25,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2005,7]]}},"alternative-id":["10.1145\/1073204.1073207"],"URL":"https:\/\/doi.org\/10.1145\/1073204.1073207","relation":{"is-identical-to":[{"id-type":"doi","id":"10.1145\/3596711.3596797","asserted-by":"object"}]},"ISSN":["0730-0301","1557-7368"],"issn-type":[{"value":"0730-0301","type":"print"},{"value":"1557-7368","type":"electronic"}],"subject":[],"published":{"date-parts":[[2005,7]]},"assertion":[{"value":"2005-07-01","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}