Clothed and naked human shapes estimation from a single image

Authors:
Yu Guo;Xiaowu Chen;Bin Zhou;Qinping Zhao
Affiliations:
State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science and Engineering, Beihang University, Beijing, P.R. China;State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science and Engineering, Beihang University, Beijing, P.R. China;State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science and Engineering, Beihang University, Beijing, P.R. China;State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science and Engineering, Beihang University, Beijing, P.R. China
Venue:
CVM'12 Proceedings of the First international conference on Computational Visual Media
Year:
2012

Citing 8
Cited 1

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Deformable model for estimating clothed and naked human shapes from a single image

The Visual Computer: International Journal of Computer Graphics

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Abstract

This paper presents a novel method to simultaneously estimate the clothed and naked 3D shapes of a person. The method needs only a single photograph of a person wearing clothing. Firstly, we learn a deformable model of human clothed body shapes from a database. Then, given an input image, the deformable model is initialized with a few user-specified 2D joints and contours of the person. And the correspondence between 3D shape and 2D contours is established automatically. Finally, we optimize the parameters of the deformable model in an iterative way, and then obtain the clothed and naked 3D shapes of the person simultaneously. The experimental results on real images demonstrate the effectiveness of our method.