{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:28:18Z","timestamp":1750220898908,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":53,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,11,12]],"date-time":"2019-11-12T00:00:00Z","timestamp":1573516800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100012659","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61502005"],"award-info":[{"award-number":["61502005"]}],"id":[{"id":"10.13039\/501100012659","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Key Science&Technology Program of Anhui Province","award":["1604d0802004"],"award-info":[{"award-number":["1604d0802004"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,11,12]]},"DOI":"10.1145\/3359996.3364252","type":"proceedings-article","created":{"date-parts":[[2019,11,12]],"date-time":"2019-11-12T21:49:16Z","timestamp":1573595356000},"page":"1-11","source":"Crossref","is-referenced-by-count":4,"title":["Single RGB-D Fitting: Total Human Modeling with an RGB-D Shot"],"prefix":"10.1145","author":[{"given":"Xianyong","family":"Fang","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology, Anhui University - University of Houston, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jikui","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Anhui University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jie","family":"Rao","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Anhui University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Linbo","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Anhui University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhigang","family":"Deng","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of Houston"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2019,11,12]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-66709-6_28"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"crossref","unstructured":"Thiemo Alldieck Marcus\u00a0A Magnor Weipeng Xu Christian Theobalt and Gerard Pons-Moll. 2018. Video Based Reconstruction of 3D People Models. In CVPR. 8387\u20138397.  Thiemo Alldieck Marcus\u00a0A Magnor Weipeng Xu Christian Theobalt and Gerard Pons-Moll. 2018. Video Based Reconstruction of 3D People Models. In CVPR. 8387\u20138397.","DOI":"10.1109\/CVPR.2018.00875"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"crossref","unstructured":"Dragomir Anguelov Praveen Srinivasan Daphne Koller Sebastian Thrun Jim Rodgers and James Davis. 2005. SCAPE: shape completion and animation of people. ACM Trans. on graphics 24 3 (2005) 408\u2013416.  Dragomir Anguelov Praveen Srinivasan Daphne Koller Sebastian Thrun Jim Rodgers and James Davis. 2005. SCAPE: shape completion and animation of people. ACM Trans. on graphics 24 3 (2005) 408\u2013416.","DOI":"10.1145\/1073204.1073207"},{"volume-title":"Learning Human Body Shapes in Motion. In ACM SIGGRAPH 2016 Courses. 17:1\u201317:411","year":"2016","author":"Black Michael","key":"e_1_3_2_1_4_1"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"crossref","unstructured":"Federica Bogo Michael\u00a0J Black Matthew Loper and Javier Romero. 2015. Detailed full-body reconstructions of moving people from monocular RGB-D sequences. In ICCV. 2300\u20132308.  Federica Bogo Michael\u00a0J Black Matthew Loper and Javier Romero. 2015. Detailed full-body reconstructions of moving people from monocular RGB-D sequences. In ICCV. 2300\u20132308.","DOI":"10.1109\/ICCV.2015.265"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"crossref","unstructured":"Federica Bogo Angjoo Kanazawa Christoph Lassner Peter Gehler Javier Romero and Michael\u00a0J Black. 2016. Keep it SMPL: Automatic estimation of 3D human pose and shape from a single image. In ECCV. 561\u2013578.  Federica Bogo Angjoo Kanazawa Christoph Lassner Peter Gehler Javier Romero and Michael\u00a0J Black. 2016. Keep it SMPL: Automatic estimation of 3D human pose and shape from a single image. In ECCV. 561\u2013578.","DOI":"10.1007\/978-3-319-46454-1_34"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"crossref","unstructured":"Zhe Cao Gines Hidalgo Tomas Simon Shih-En Wei and Yaser Sheikh. 2018. OpenPose: realtime multi-person 2D pose estimation using Part Affinity Fields. In arXiv preprint arXiv:1812.08008.  Zhe Cao Gines Hidalgo Tomas Simon Shih-En Wei and Yaser Sheikh. 2018. OpenPose: realtime multi-person 2D pose estimation using Part Affinity Fields. In arXiv preprint arXiv:1812.08008.","DOI":"10.1109\/CVPR.2017.143"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00371-013-0775-7"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cag.2017.11.008"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/1360612.1360697"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"crossref","unstructured":"Endri Dibra Himanshu Jain A\u00a0Cengiz \u00d6ztireli Remo Ziegler and Markus\u00a0H Gross. 2017. Human Shape from Silhouettes Using Generative HKS Descriptors and Cross-Modal Neural Networks. In CVPR Vol.\u00a02. 5504\u20135514.  Endri Dibra Himanshu Jain A\u00a0Cengiz \u00d6ztireli Remo Ziegler and Markus\u00a0H Gross. 2017. Human Shape from Silhouettes Using Generative HKS Descriptors and Cross-Modal Neural Networks. In CVPR Vol.\u00a02. 5504\u20135514.","DOI":"10.1109\/CVPR.2017.584"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"crossref","unstructured":"Endri Dibra Cengiz \u00d6ztireli Remo Ziegler and Markus Gross. 2016. Shape from selfies: Human body shape estimation using cca regression forests. In ECCV. 88\u2013104.  Endri Dibra Cengiz \u00d6ztireli Remo Ziegler and Markus Gross. 2016. Shape from selfies: Human body shape estimation using cca regression forests. In ECCV. 88\u2013104.","DOI":"10.1007\/978-3-319-46493-0_6"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"crossref","unstructured":"Peng Guan Alexander Weiss Alexandru\u00a0O Balan and Michael\u00a0J Black. 2009. Estimating human shape and pose from a single image. In ICCV. 1381\u20131388.  Peng Guan Alexander Weiss Alexandru\u00a0O Balan and Michael\u00a0J Black. 2009. Estimating human shape and pose from a single image. In ICCV. 1381\u20131388.","DOI":"10.1109\/ICCV.2009.5459300"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cag.2009.03.026"},{"volume-title":"ECCV 2018 Workshops. 64\u201377","year":"2018","author":"Jackson S","key":"e_1_3_2_1_15_1"},{"key":"e_1_3_2_1_16_1","unstructured":"Zhongping Ji Xiao Qi Yigang Wang Gang Xu Peng Du and Qing Wu. 2018. Shape-from-Mask: A Deep Learning Based Human Body Shape Reconstruction from Binary Mask Images. arXiv preprint arXiv:1806.08485(2018).  Zhongping Ji Xiao Qi Yigang Wang Gang Xu Peng Du and Qing Wu. 2018. Shape-from-Mask: A Deep Learning Based Human Body Shape Reconstruction from Binary Mask Images. arXiv preprint arXiv:1806.08485(2018)."},{"volume-title":"Total Capture: A 3D Deformation Model for Tracking Faces, Hands, and Bodies. In CVPR. 8320\u20138329.","year":"2018","author":"Joo Hanbyul","key":"e_1_3_2_1_17_1"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"crossref","unstructured":"Angjoo Kanazawa Michael\u00a0J Black David\u00a0W Jacobs and Jitendra Malik. 2018. End-to-end recovery of human shape and pose. In CVPR. 7122\u20137131.  Angjoo Kanazawa Michael\u00a0J Black David\u00a0W Jacobs and Jitendra Malik. 2018. End-to-end recovery of human shape and pose. In CVPR. 7122\u20137131.","DOI":"10.1109\/CVPR.2018.00744"},{"key":"e_1_3_2_1_19_1","unstructured":"Don Koks. 2006. Explorations in mathematical physics: the concepts behind an elegant language. Springer-Verlag New York New York NY.  Don Koks. 2006. Explorations in mathematical physics: the concepts behind an elegant language. Springer-Verlag New York New York NY."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"crossref","unstructured":"Christoph Lassner Gerard Pons-Moll and Peter\u00a0V Gehler. 2017a. A generative model of people in clothing. In ICCV Vol.\u00a06. 853\u2013862.  Christoph Lassner Gerard Pons-Moll and Peter\u00a0V Gehler. 2017a. A generative model of people in clothing. In ICCV Vol.\u00a06. 853\u2013862.","DOI":"10.1109\/ICCV.2017.98"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"crossref","unstructured":"Christoph Lassner Javier Romero Martin Kiefel Federica Bogo Michael\u00a0J Black and Peter\u00a0V Gehler. 2017b. Unite the people: Closing the loop between 3D and 2D human representations. In CVPR Vol.\u00a02. 4704\u20134713.  Christoph Lassner Javier Romero Martin Kiefel Federica Bogo Michael\u00a0J Black and Peter\u00a0V Gehler. 2017b. Unite the people: Closing the loop between 3D and 2D human representations. In CVPR Vol.\u00a02. 4704\u20134713.","DOI":"10.1109\/CVPR.2017.500"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"crossref","unstructured":"Yann LeCun Yoshua Bengio and Geoffrey Hinton. 2015. Deep learning. Nature 521 7553 (2015) 436.  Yann LeCun Yoshua Bengio and Geoffrey Hinton. 2015. Deep learning. Nature 521 7553 (2015) 436.","DOI":"10.1038\/nature14539"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.5220\/0007383605740581"},{"key":"e_1_3_2_1_24_1","unstructured":"Matthew Loper. 2018. Chumpy. https:\/\/pypi.python.org\/pypi\/chumpy.  Matthew Loper. 2018. Chumpy. https:\/\/pypi.python.org\/pypi\/chumpy."},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/2816795.2818013"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2015.2513408"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/3072959.3073596"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2008.106"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2014.52"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"crossref","unstructured":"Richard\u00a0A Newcombe Dieter Fox and Steven\u00a0M Seitz. 2015. DynamicFusion: Reconstruction and tracking of non-rigid scenes in real-time. In CVPR. 343\u2013352.  Richard\u00a0A Newcombe Dieter Fox and Steven\u00a0M Seitz. 2015. DynamicFusion: Reconstruction and tracking of non-rigid scenes in real-time. In CVPR. 343\u2013352.","DOI":"10.1109\/CVPR.2015.7298631"},{"key":"e_1_3_2_1_31_1","unstructured":"Jorge Nocedal and Stephen Wright. 2006. Numerical optimization(2nd ed.). Springer New York NY.  Jorge Nocedal and Stephen Wright. 2006. Numerical optimization(2nd ed.). Springer New York NY."},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2018.00062"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.23919\/MVA.2017.7986844"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"crossref","unstructured":"Georgios Pavlakos Luyang Zhu Xiaowei Zhou and Kostas Daniilidis. 2018. Learning to Estimate 3D Human Pose and Shape from a Single Color Image. In CVPR. 459\u2013468.  Georgios Pavlakos Luyang Zhu Xiaowei Zhou and Kostas Daniilidis. 2018. Learning to Estimate 3D Human Pose and Shape from a Single Color Image. In CVPR. 459\u2013468.","DOI":"10.1109\/CVPR.2018.00055"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2017.02.018"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/3072959.3073711"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"crossref","unstructured":"Gregory Rogez Philippe Weinzaepfel and Cordelia Schmid. 2017. LCR-Net: Localization-classification-regression for human pose. In CVPR. 1216\u20131224.  Gregory Rogez Philippe Weinzaepfel and Cordelia Schmid. 2017. LCR-Net: Localization-classification-regression for human pose. In CVPR. 1216\u20131224.","DOI":"10.1109\/CVPR.2017.134"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/2634212"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1145\/3130800.3130883"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"crossref","unstructured":"Jamie Shotton Andrew Fitzgibbon Mat Cook Toby Sharp Mark Finocchio Richard Moore Alex Kipman and Andrew Blake. 2011. Real-time human pose recognition in parts from single depth images. In CVPR. 1297\u20131304.  Jamie Shotton Andrew Fitzgibbon Mat Cook Toby Sharp Mark Finocchio Richard Moore Alex Kipman and Andrew Blake. 2011. Real-time human pose recognition in parts from single depth images. In CVPR. 1297\u20131304.","DOI":"10.1109\/CVPR.2011.5995316"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1145\/1882261.1866161"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"crossref","unstructured":"G\u00fcl Varol Duygu Ceylan Bryan Russell Jimei Yang Ersin Yumer Ivan Laptev and Cordelia Schmid. 2018. BodyNet: Volumetric Inference of 3D Human Body Shapes. In ECCV. 20\u201338.  G\u00fcl Varol Duygu Ceylan Bryan Russell Jimei Yang Ersin Yumer Ivan Laptev and Cordelia Schmid. 2018. BodyNet: Volumetric Inference of 3D Human Body Shapes. In ECCV. 20\u201338.","DOI":"10.1007\/978-3-030-01234-2_2"},{"key":"e_1_3_2_1_43_1","unstructured":"Abbhinav Venkat Sai Sagar and Avinash Sharma. 2018. Deep Textured 3D Reconstruction of Human Bodies. In BMVC. 286.  Abbhinav Venkat Sai Sagar and Avinash Sharma. 2018. Deep Textured 3D Reconstruction of Human Bodies. In BMVC. 286."},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"crossref","unstructured":"Donglai Xiang Hanbyul Joo and Yaser Sheikh. 2019. Monocular Total Capture: Posing Face Body and Hands in the Wild. In CVPR.  Donglai Xiang Hanbyul Joo and Yaser Sheikh. 2019. Monocular Total Capture: Posing Face Body and Hands in the Wild. In CVPR.","DOI":"10.1109\/CVPR.2019.01122"},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1145\/3181973"},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"crossref","unstructured":"Mao Ye and Ruigang Yang. 2014. Real-time simultaneous pose and shape estimation for articulated objects using a single depth camera. In CVPR. 2345\u20132352.  Mao Ye and Ruigang Yang. 2014. Real-time simultaneous pose and shape estimation for articulated objects using a single depth camera. In CVPR. 2345\u20132352.","DOI":"10.1109\/CVPR.2014.301"},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-27857-5_36"},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"crossref","unstructured":"Tao Yu Zerong Zheng Kaiwen Guo Jianhui Zhao Qionghai Dai Hao Li Gerard Pons-Moll and Yebin Liu. 2018. DoubleFusion: Real-Time Capture of Human Performances With Inner Body Shapes From a Single Depth Sensor. In CVPR. 7287\u20137296.  Tao Yu Zerong Zheng Kaiwen Guo Jianhui Zhao Qionghai Dai Hao Li Gerard Pons-Moll and Yebin Liu. 2018. DoubleFusion: Real-Time Capture of Human Performances With Inner Body Shapes From a Single Depth Sensor. In CVPR. 7287\u20137296.","DOI":"10.1109\/CVPR.2018.00761"},{"key":"e_1_3_2_1_49_1","doi-asserted-by":"crossref","unstructured":"Chao Zhang Sergi Pujades Michael\u00a0J Black and Gerard Pons-Moll. 2017. Detailed accurate human shape estimation from clothed 3D scan sequences. In CVPR Vol.\u00a02. 5484\u20135493.  Chao Zhang Sergi Pujades Michael\u00a0J Black and Gerard Pons-Moll. 2017. Detailed accurate human shape estimation from clothed 3D scan sequences. In CVPR Vol.\u00a02. 5484\u20135493.","DOI":"10.1109\/CVPR.2017.582"},{"key":"e_1_3_2_1_50_1","doi-asserted-by":"crossref","unstructured":"Shuai Zheng Sadeep Jayasumana Bernardino Romera-Paredes Vibhav Vineet Zhizhong Su Dalong Du Chang Huang and Philip\u00a0HS Torr. 2015. Conditional random fields as recurrent neural networks. In ICCV. 1529\u20131537.  Shuai Zheng Sadeep Jayasumana Bernardino Romera-Paredes Vibhav Vineet Zhizhong Su Dalong Du Chang Huang and Philip\u00a0HS Torr. 2015. Conditional random fields as recurrent neural networks. In ICCV. 1529\u20131537.","DOI":"10.1109\/ICCV.2015.179"},{"key":"e_1_3_2_1_51_1","doi-asserted-by":"crossref","unstructured":"Xiangxin Zhu and Deva Ramanan. 2012. Face detection pose estimation and landmark localization in the wild. In CVPR. 2879\u20132886.  Xiangxin Zhu and Deva Ramanan. 2012. Face detection pose estimation and landmark localization in the wild. In CVPR. 2879\u20132886.","DOI":"10.1109\/CVPR.2012.6248014"},{"key":"e_1_3_2_1_52_1","doi-asserted-by":"crossref","unstructured":"Christian Zimmermann and Thomas Brox. 2017. Learning to estimate 3D hand pose from single RGB images. In ICCV(1). 3.  Christian Zimmermann and Thomas Brox. 2017. Learning to estimate 3D hand pose from single RGB images. In ICCV(1). 3.","DOI":"10.1109\/ICCV.2017.525"},{"key":"e_1_3_2_1_53_1","first-page":"3955","article-title":"Lions and Tigers and Bears","author":"Zuffi Silvia","year":"2018","journal-title":"Capturing Non-Rigid, 3D, Articulated Shape From Images. In CVPR."}],"event":{"name":"VRST '19: 25th ACM Symposium on Virtual Reality Software and Technology","sponsor":["SIGGRAPH ACM Special Interest Group on Computer Graphics and Interactive Techniques","SIGCHI ACM Special Interest Group on Computer-Human Interaction"],"location":"Parramatta NSW Australia","acronym":"VRST '19"},"container-title":["25th ACM Symposium on Virtual Reality Software and Technology"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3359996.3364252","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3359996.3364252","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T23:44:42Z","timestamp":1750203882000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3359996.3364252"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,11,12]]},"references-count":53,"alternative-id":["10.1145\/3359996.3364252","10.1145\/3359996"],"URL":"https:\/\/doi.org\/10.1145\/3359996.3364252","relation":{},"subject":[],"published":{"date-parts":[[2019,11,12]]}}}