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Clothed and naked human shapes estimation from a single image

  • Beihang University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationComputational Visual Media - First International Conference, CVM 2012, Proceedings
Pages43-50
Number of pages8
DOIs
StatePublished - 2012
Event1st International Conference on Computational Visual Media, CVM 2012 - Beijing, China
Duration: 8 Nov 201210 Nov 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7633 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference1st International Conference on Computational Visual Media, CVM 2012
Country/TerritoryChina
CityBeijing
Period8/11/1210/11/12

Keywords

  • deformable model
  • human shape
  • shape-from-contours

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