{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,13]],"date-time":"2026-01-13T15:53:24Z","timestamp":1768319604141,"version":"3.49.0"},"reference-count":21,"publisher":"Association for Computing Machinery (ACM)","issue":"2","license":[{"start":{"date-parts":[[2010,3,1]],"date-time":"2010-03-01T00:00:00Z","timestamp":1267401600000},"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":[[2010,3]]},"abstract":"<jats:p>\n            We present a novel technique for acquiring detailed facial geometry of a dynamic performance using extended spherical gradient illumination. Key to our method is a new algorithm for\n            <jats:italic>jointly<\/jats:italic>\n            aligning two photographs, under a gradient illumination condition and its complement, to a full-on tracking frame, providing dense temporal correspondences under changing lighting conditions. We employ a two-step algorithm to reconstruct detailed geometry for\n            <jats:italic>every<\/jats:italic>\n            captured frame. In the first step, we coalesce information from the gradient illumination frames to the full-on tracking frame, and form a temporally aligned photometric normal map, which is subsequently combined with dense stereo correspondences yielding a detailed geometry. In a second step, we propagate the detailed geometry back to every captured instance guided by the previously computed dense correspondences. We demonstrate reconstructed dynamic facial geometry, captured using moderate to video rates of acquisition, for every captured frame.\n          <\/jats:p>","DOI":"10.1145\/1731047.1731055","type":"journal-article","created":{"date-parts":[[2010,5,6]],"date-time":"2010-05-06T17:41:18Z","timestamp":1273167678000},"page":"1-11","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":46,"title":["Temporal upsampling of performance geometry using photometric alignment"],"prefix":"10.1145","volume":"29","author":[{"given":"Cyrus A.","family":"Wilson","sequence":"first","affiliation":[{"name":"Institute for Creative Technologies, University of Southern California, Marina del Ray, CA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Abhijeet","family":"Ghosh","sequence":"additional","affiliation":[{"name":"Institute for Creative Technologies, University of Southern California, Marina del Ray, CA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pieter","family":"Peers","sequence":"additional","affiliation":[{"name":"Institute for Creative Technologies, University of Southern California, Marina del Ray, CA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jen-Yuan","family":"Chiang","sequence":"additional","affiliation":[{"name":"Institute for Creative Technologies, University of Southern California, Marina del Ray, CA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jay","family":"Busch","sequence":"additional","affiliation":[{"name":"Institute for Creative Technologies, University of Southern California, Marina del Ray, CA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Paul","family":"Debevec","sequence":"additional","affiliation":[{"name":"Institute for Creative Technologies, University of Southern California, Marina del Ray, CA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2010,4,21]]},"reference":[{"key":"e_1_2_2_1_1","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR'08)","author":"Ahmed N.","unstructured":"Ahmed , N. , Theobalt , C. , Dobrev , P. , Seidel , H.-P. , and Thrun , S . 2008. Robust fusion of dynamic shape and normal capture for high-quality reconstruction of time-varying geometry . In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR'08) . 1--8. Ahmed, N., Theobalt, C., Dobrev, P., Seidel, H.-P., and Thrun, S. 2008. Robust fusion of dynamic shape and normal capture for high-quality reconstruction of time-varying geometry. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR'08). 1--8."},{"key":"e_1_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/1276377.1276419"},{"key":"e_1_2_2_3_1","volume-title":"Proceedings of the European Conference on Computer Vision. 25--36","author":"Brox T.","unstructured":"Brox , T. , Bruhn , A. , Papenberg , N. , and Weickert , J . 2004. High accuracy optical flow estimation based on a theory for warping . In Proceedings of the European Conference on Computer Vision. 25--36 . Brox, T., Bruhn, A., Papenberg, N., and Weickert, J. 2004. High accuracy optical flow estimation based on a theory for warping. In Proceedings of the European Conference on Computer Vision. 25--36."},{"key":"e_1_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2005.37"},{"key":"e_1_2_2_5_1","volume-title":"Proceedings of the IEEE International Conference on Computer Vision. 1--8.","author":"Hernandez C.","unstructured":"Hernandez , C. , Vogiatzis , G. , Brostow , G. J. , Stenger , B. , and Cipolla , R . 2007. Non-Rigid photometric stereo with colored lights . In Proceedings of the IEEE International Conference on Computer Vision. 1--8. Hernandez, C., Vogiatzis, G., Brostow, G. J., Stenger, B., and Cipolla, R. 2007. Non-Rigid photometric stereo with colored lights. In Proceedings of the IEEE International Conference on Computer Vision. 1--8."},{"key":"e_1_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/882262.882270"},{"key":"e_1_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2005.185"},{"key":"e_1_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.5555\/2383847.2383873"},{"key":"e_1_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/1409060.1409074"},{"key":"e_1_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.5555\/2383894.2383925"},{"key":"e_1_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/1073204.1073226"},{"key":"e_1_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/566654.566600"},{"key":"e_1_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1014573219977"},{"key":"e_1_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/1061347.1061351"},{"key":"e_1_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/1618452.1618520"},{"key":"e_1_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/1516522.1516526"},{"key":"e_1_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/1073204.1073258"},{"key":"e_1_2_2_18_1","unstructured":"XYZRGB. 3D laser scanning\u2014XYZ RGB Inc. http:\/\/www.xyzrgb.com\/.  XYZRGB. 3D laser scanning\u2014XYZ RGB Inc. http:\/\/www.xyzrgb.com\/."},{"key":"e_1_2_2_19_1","doi-asserted-by":"crossref","unstructured":"Zhang S. and Huang P. 2006. High-Resolution real-time three-dimensional shape measurement. Optical Engin. 45 12 123601: 1--8.  Zhang S. and Huang P. 2006. High-Resolution real-time three-dimensional shape measurement. Optical Engin. 45 12 123601: 1--8.","DOI":"10.1117\/1.2402128"},{"key":"e_1_2_2_20_1","volume-title":"Proceedings of the IEEE International Conference on Computer Vision. 618--625","author":"Zhang L.","unstructured":"Zhang , L. , Curless , B. , Hertzmann , A. , and Seitz , S. M . 2003. Shape and motion under varying illumination: Unifying structure from motion, photometric stereo, and multi-view stereo . In Proceedings of the IEEE International Conference on Computer Vision. 618--625 . Zhang, L., Curless, B., Hertzmann, A., and Seitz, S. M. 2003. Shape and motion under varying illumination: Unifying structure from motion, photometric stereo, and multi-view stereo. In Proceedings of the IEEE International Conference on Computer Vision. 618--625."},{"key":"e_1_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/1015706.1015759"}],"container-title":["ACM Transactions on Graphics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/1731047.1731055","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/1731047.1731055","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T12:41:27Z","timestamp":1750250487000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/1731047.1731055"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010,3]]},"references-count":21,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2010,3]]}},"alternative-id":["10.1145\/1731047.1731055"],"URL":"https:\/\/doi.org\/10.1145\/1731047.1731055","relation":{},"ISSN":["0730-0301","1557-7368"],"issn-type":[{"value":"0730-0301","type":"print"},{"value":"1557-7368","type":"electronic"}],"subject":[],"published":{"date-parts":[[2010,3]]},"assertion":[{"value":"2009-11-01","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2010-02-01","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2010-04-21","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}