3D Body Shapes Estimation from Dressed-Human Silhouettes

dc.contributor.authorSong, Danen_US
dc.contributor.authorTong, Ruofengen_US
dc.contributor.authorChang, Jianen_US
dc.contributor.authorYang, Xiaosongen_US
dc.contributor.authorTang, Minen_US
dc.contributor.authorZhang, Jian Junen_US
dc.contributor.editorEitan Grinspun and Bernd Bickel and Yoshinori Dobashien_US
dc.date.accessioned2016-10-11T05:19:08Z
dc.date.available2016-10-11T05:19:08Z
dc.date.issued2016
dc.description.abstractEstimation of 3D body shapes from dressed-human photos is an important but challenging problem in virtual fitting. We propose a novel automatic framework to efficiently estimate 3D body shapes under clothes. We construct a database of 3D naked and dressed body pairs, based on which we learn how to predict 3D positions of body landmarks (which further constrain a parametric human body model) automatically according to dressed-human silhouettes. Critical vertices are selected on 3D registered human bodies as landmarks to represent body shapes, so as to avoid the time-consuming vertices correspondences finding process for parametric body reconstruction. Our method can estimate 3D body shapes from dressed-human silhouettes within 4 seconds, while the fastest method reported previously need 1 minute. In addition, our estimation error is within the size tolerance for clothing industry. We dress 6042 naked bodies with 3 sets of common clothes by physically based cloth simulation technique. To the best of our knowledge, We are the first to construct such a database containing 3D naked and dressed body pairs and our database may contribute to the areas of human body shapes estimation and cloth simulation.en_US
dc.description.number7
dc.description.sectionheadersReconstruction
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume35
dc.identifier.doi10.1111/cgf.13012
dc.identifier.issn1467-8659
dc.identifier.pages147-156
dc.identifier.urihttps://doi.org/10.1111/cgf.13012
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf13012
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectI.3.m [Computer Graphics]
dc.subjectMiscellaneous
dc.subjectImage
dc.subjectbased modeling
dc.title3D Body Shapes Estimation from Dressed-Human Silhouettesen_US
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