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State of the art hair reconstruction methods allow either a single photo (thus compromising 3D quality) or multiple views, but they require manual user interaction (manual hair segmentation and capture of fixed camera views that span full 360\u00b0). In this paper, we describe a system that can completely automatically create a reconstruction from any video (even a selfie video), and we don't require specific views, since taking your -90\u00b0, 90\u00b0, and full back views is not feasible in a selfie capture.<\/jats:p>\n          <jats:p>In the core of our system, in addition to the automatization components, hair strands are estimated and deformed in 3D (rather than 2D as in state of the art) thus enabling superior results. We provide qualitative, quantitative, and Mechanical Turk human studies that support the proposed system, and show results on a diverse variety of videos (8 different celebrity videos, 9 selfie mobile videos, spanning age, gender, hair length, type, and styling).<\/jats:p>","DOI":"10.1145\/3272127.3275020","type":"journal-article","created":{"date-parts":[[2018,11,28]],"date-time":"2018-11-28T19:16:10Z","timestamp":1543432570000},"page":"1-14","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":18,"title":["Video to fully automatic 3D hair model"],"prefix":"10.1145","volume":"37","author":[{"given":"Shu","family":"Liang","sequence":"first","affiliation":[{"name":"University of Washington"}]},{"given":"Xiufeng","family":"Huang","sequence":"additional","affiliation":[{"name":"Owlii"}]},{"given":"Xianyu","family":"Meng","sequence":"additional","affiliation":[{"name":"Owlii"}]},{"given":"Kunyao","family":"Chen","sequence":"additional","affiliation":[{"name":"Owlii"}]},{"given":"Linda G.","family":"Shapiro","sequence":"additional","affiliation":[{"name":"University of Washington"}]},{"given":"Ira","family":"Kemelmacher-Shlizerman","sequence":"additional","affiliation":[{"name":"University of Washington"}]}],"member":"320","published-online":{"date-parts":[[2018,12,4]]},"reference":[{"key":"e_1_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/2503385.2503387"},{"key":"e_1_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/882262.882311"},{"key":"e_1_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/1778765.1778777"},{"key":"e_1_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/311535.311556"},{"key":"e_1_2_2_5_1","doi-asserted-by":"crossref","unstructured":"Chen Cao Yanlin Weng Shun Zhou Yiying Tong and Kun Zhou. 2013. 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