Parametric reshaping of human bodies in images

Shizhe Zhou, Hongbo Fu, Ligang Liu*, Daniel Cohen-Or, Xiaoguang Han

*Corresponding author for this work

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

Abstract

We present an easy-to-use image retouching technique for realistic reshaping of human bodies in a single image. A model-based approach is taken by integrating a 3D whole-body morphable model into the reshaping process to achieve globally consistent editing effects. A novel body-aware image warping approach is introduced to reliably transfer the reshaping effects from the model to the image, even under moderate fitting errors. Thanks to the parametric nature of the model, our technique parameterizes the degree of reshaping by a small set of semantic attributes, such as weight and height. It allows easy creation of desired reshaping effects by changing the full-body attributes, while producing visually pleasing results even for loosely-dressed humans in casual photographs with a variety of poses and shapes.

Original languageEnglish
Title of host publicationSIGGRAPH '10
Subtitle of host publicationACM SIGGRAPH 2010 papers
EditorsHugues Hoppe
PublisherAssociation for Computing Machinery (ACM)
ISBN (Electronic)9781450302104
DOIs
StatePublished - 26 Jul 2010
Event37th International Conference and Exhibition on Computer Graphics and Interactive Techniques, SIGGRAPH 2010 - Los Angeles, United States
Duration: 26 Jul 201030 Jul 2010

Publication series

NameACM SIGGRAPH 2010 Papers, SIGGRAPH 2010

Conference

Conference37th International Conference and Exhibition on Computer Graphics and Interactive Techniques, SIGGRAPH 2010
Country/TerritoryUnited States
CityLos Angeles
Period26/07/1030/07/10

Funding

FundersFunder number
973 National Key Basic Research Foundation of China2009CB320801
City University of Hong KongStUp7200148, SRG7002533
Microsoft Research Asia60776799
National Natural Science Foundation of China
Research Grants Council, University Grants Committee
Israel Academy of Sciences and Humanities
Israel Science Foundation

    Keywords

    • Image manipulation
    • Portrait retouching
    • Warping

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