Real-time Human Pose and Shape Estimation for Virtual Try-On Using a Single Commodity Depth Camera

IEEE Trans. Vis. Comput. Graph., Volume 20, Issue 4, 2014, Pages 550-559.

Cited by: 28|Bibtex|Views13|DOI:https://doi.org/10.1109/TVCG.2014.35
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Other Links: pubmed.ncbi.nlm.nih.gov|dl.acm.org|academic.microsoft.com|dblp.uni-trier.de

Abstract:

We present a system that allows the user to virtually try on new clothes. It uses a single commodity depth camera to capture the user in 3D. Both the pose and the shape of the user are estimated with a novel real-time template-based approach that performs tracking and shape adaptation jointly. The result is then used to drive realistic cl...More

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