{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,23]],"date-time":"2026-02-23T21:38:47Z","timestamp":1771882727055,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":29,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,10,30]],"date-time":"2020-10-30T00:00:00Z","timestamp":1604016000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61702082,61702081,61972068,61976042"],"award-info":[{"award-number":["61702082,61702081,61972068,61976042"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,10,30]]},"DOI":"10.1145\/3436369.3436476","type":"proceedings-article","created":{"date-parts":[[2021,1,12]],"date-time":"2021-01-12T03:00:58Z","timestamp":1610420458000},"page":"213-217","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":9,"title":["Can We Extract 3D Biometrics from 2D Images for Facial Beauty Analysis?"],"prefix":"10.1145","author":[{"given":"Wenming","family":"Han","sequence":"first","affiliation":[{"name":"Dalian Minzu University Liaohe, Dalian, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fangmei","family":"Chen","sequence":"additional","affiliation":[{"name":"Dalian Minzu University Liaohe, Dalian, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fuming","family":"Sun","sequence":"additional","affiliation":[{"name":"Dalian Minzu University Liaohe, Dalian, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2021,1,11]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.14260\/jemds\/2020\/24"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.bjps.2009.12.015"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.4041\/kjod.2017.47.2.87"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jcms.2017.01.029"},{"key":"e_1_3_2_1_5_1","unstructured":"Marquardt Beauty Analysis (MBA). https:\/\/www.beautyanalysis.com\/.  Marquardt Beauty Analysis (MBA). https:\/\/www.beautyanalysis.com\/."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijhcs.2006.07.004"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2007.11.022"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2011.11.024"},{"key":"e_1_3_2_1_9_1","volume-title":"Evaluation of the Putative Ratio Rules for Facial Beauty Indexing. 2014 International Conference on Medical Biometrics, 181--188","author":"Chen F.","year":"2014","unstructured":"Chen , F. , and Zhang , D . 2014 . Evaluation of the Putative Ratio Rules for Facial Beauty Indexing. 2014 International Conference on Medical Biometrics, 181--188 . DOI= https:\/\/doi.org\/10.1109\/ICMB. 2014 .38. 10.1109\/ICMB.2014.38 Chen, F., and Zhang, D. 2014. Evaluation of the Putative Ratio Rules for Facial Beauty Indexing. 2014 International Conference on Medical Biometrics, 181--188. DOI= https:\/\/doi.org\/10.1109\/ICMB.2014.38."},{"key":"e_1_3_2_1_10_1","volume-title":"Vision Research","author":"Pallett P M","year":"2010","unstructured":"Pallett P M , Link S , Lee K. New \"golden\" ratios for facial beauty [J] . Vision Research , 2010 , 50(2): 149--154. Pallett P M, Link S, Lee K. New \"golden\" ratios for facial beauty [J]. Vision Research, 2010, 50(2): 149--154."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00266-018-1241-8"},{"issue":"00","key":"e_1_3_2_1_12_1","first-page":"1","article-title":"The Esthetic Difference of Chinese Beauty Evaluated by Two Different Human Races Based on Three-Dimensional Average Face Analysis","volume":"00","author":"Chen C.","year":"2019","unstructured":"Chen , C. , Chen , Y. , Li , Q. , & How Kau , C. 2019 . The Esthetic Difference of Chinese Beauty Evaluated by Two Different Human Races Based on Three-Dimensional Average Face Analysis . Journal of Craniofacial Surgery , 00 ( 00 ), 1 . DOI=https:\/\/doi.org\/10.1097\/scs.0000000000005316. 10.1097\/scs.0000000000005316 Chen, C., Chen, Y., Li, Q., & How Kau, C. 2019. The Esthetic Difference of Chinese Beauty Evaluated by Two Different Human Races Based on Three-Dimensional Average Face Analysis. Journal of Craniofacial Surgery, 00(00), 1. DOI=https:\/\/doi.org\/10.1097\/scs.0000000000005316.","journal-title":"Journal of Craniofacial Surgery"},{"key":"e_1_3_2_1_13_1","unstructured":"Egger B. Smith W. A. P. Tewari A. Wuhrer S. Zollhoefer M. Beeler T. ... Vetter T. 2019. 3D Morphable Face Models -- Past Present and Future. Retrieved from http:\/\/arxiv.org\/abs\/1909.01815.  Egger B. Smith W. A. P. Tewari A. Wuhrer S. Zollhoefer M. Beeler T. ... Vetter T. 2019. 3D Morphable Face Models -- Past Present and Future. Retrieved from http:\/\/arxiv.org\/abs\/1909.01815."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2837742"},{"key":"e_1_3_2_1_15_1","first-page":"1274","volume-title":"MoFa: Model-Based Deep Convolutional Face Autoencoder for Unsupervised Monocular Reconstruction. In: International Conference on Computer Vision (ICCV)","author":"Tewari A.","unstructured":"Tewari A. , Zollh\u00f6fer M. , Kim H. 2017 . MoFa: Model-Based Deep Convolutional Face Autoencoder for Unsupervised Monocular Reconstruction. In: International Conference on Computer Vision (ICCV) , pp. 1274 -- 1283 . Tewari A., Zollh\u00f6fer M., Kim H. et al. 2017. MoFa: Model-Based Deep Convolutional Face Autoencoder for Unsupervised Monocular Reconstruction. In: International Conference on Computer Vision (ICCV), pp. 1274--1283."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.163"},{"key":"e_1_3_2_1_17_1","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops.","author":"Deng Y.","unstructured":"Deng , Y. et al. 2019. Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set . In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops. Deng, Y. et al. 2019. Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops."},{"issue":"6","key":"e_1_3_2_1_18_1","first-page":"1009","article-title":"BJUT-3D Large Scale 3D Face Database and Information Processing","volume":"46","author":"Baocai Y.","year":"2009","unstructured":"Baocai , Y. , Yanfeng , S. , Chengzhang , W. , & Yun , G. 2009 . BJUT-3D Large Scale 3D Face Database and Information Processing . Journal of Computer Research and Development , 46 ( 6 ), 1009 -- 1018 . Baocai, Y., Yanfeng, S., Chengzhang, W., & Yun, G. 2009. BJUT-3D Large Scale 3D Face Database and Information Processing. Journal of Computer Research and Development, 46(6), 1009--1018.","journal-title":"Journal of Computer Research and Development"},{"key":"#cr-split#-e_1_3_2_1_19_1.1","doi-asserted-by":"crossref","unstructured":"Bas A. & Smith W. A. P. 2019. What Does 2D Geometric Information Really Tell Us About 3D Face Shape? International Journal of Computer Vision 1--19. DOI= https:\/\/doi.org\/10.1007\/s11263-019-01197-x. 10.1007\/s11263-019-01197-x","DOI":"10.1007\/s11263-019-01197-x"},{"key":"#cr-split#-e_1_3_2_1_19_1.2","doi-asserted-by":"crossref","unstructured":"Bas A. & Smith W. A. P. 2019. What Does 2D Geometric Information Really Tell Us About 3D Face Shape? International Journal of Computer Vision 1--19. DOI= https:\/\/doi.org\/10.1007\/s11263-019-01197-x.","DOI":"10.1007\/s11263-019-01197-x"},{"key":"#cr-split#-e_1_3_2_1_20_1.1","doi-asserted-by":"crossref","unstructured":"Ulrich L. Dugelay J. L. Vezzetti E. Moos S. & Marcolin F. 2020. Perspective morphometric criteria for facial beauty and proportion assessment. Applied Sciences (Switzerland) 10(1). DOI= https:\/\/doi.org\/10.3390\/app10010008. 10.3390\/app10010008","DOI":"10.3390\/app10010008"},{"key":"#cr-split#-e_1_3_2_1_20_1.2","doi-asserted-by":"crossref","unstructured":"Ulrich L. Dugelay J. L. Vezzetti E. Moos S. & Marcolin F. 2020. Perspective morphometric criteria for facial beauty and proportion assessment. Applied Sciences (Switzerland) 10(1). DOI= https:\/\/doi.org\/10.3390\/app10010008.","DOI":"10.3390\/app10010008"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2013.249"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/AVSS.2009.58"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2015.06.015"},{"key":"e_1_3_2_1_24_1","volume-title":"Statistical Shape Analysis","author":"Dryden I.L.","unstructured":"Dryden , I.L. , & Mardia K.V. 1998. Statistical Shape Analysis . West Sussex : John Wiley & Sons Ltd . Dryden, I.L., & Mardia K.V. 1998. Statistical Shape Analysis. West Sussex: John Wiley & Sons Ltd."},{"key":"e_1_3_2_1_25_1","unstructured":"SeetaFace Engine. https:\/\/github.com\/seetaface\/SeetaFaceEngine.  SeetaFace Engine. https:\/\/github.com\/seetaface\/SeetaFaceEngine."},{"key":"e_1_3_2_1_26_1","first-page":"79","volume-title":"The Joint ACM Workshop on Human Gesture and Behavior Understanding","author":"Bagdanov A.","year":"2011","unstructured":"A.D. Bagdanov , A. Del Bimbo , and I. Masi . The Florence 2d\/3d bybrid face dataset . In The Joint ACM Workshop on Human Gesture and Behavior Understanding , pages 79 -- 80 , 2011 . A.D. Bagdanov, A. Del Bimbo, and I. Masi. The Florence 2d\/3d bybrid face dataset. In The Joint ACM Workshop on Human Gesture and Behavior Understanding, pages 79--80, 2011."},{"key":"e_1_3_2_1_27_1","unstructured":"Dlib C++ Library. http:\/\/dlib.net\/  Dlib C++ Library. http:\/\/dlib.net\/"}],"event":{"name":"ICCPR 2020: 2020 9th International Conference on Computing and Pattern Recognition","location":"Xiamen China","acronym":"ICCPR 2020","sponsor":["Beijing University of Technology"]},"container-title":["Proceedings of the 2020 9th International Conference on Computing and Pattern Recognition"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3436369.3436476","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3436369.3436476","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:32:51Z","timestamp":1750199571000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3436369.3436476"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10,30]]},"references-count":29,"alternative-id":["10.1145\/3436369.3436476","10.1145\/3436369"],"URL":"https:\/\/doi.org\/10.1145\/3436369.3436476","relation":{},"subject":[],"published":{"date-parts":[[2020,10,30]]},"assertion":[{"value":"2021-01-11","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}