Accurate nonrigid 3D human body surface reconstruction using commodity depth sensors

Author:

Lu Yao1ORCID,Zhao Shang1ORCID,Younes Naji2,Hahn James K.3ORCID

Affiliation:

1. Department of Computer Science, School of Engineering and Applied Science, Institute for Computer Graphics The George Washington University 800 22nd Street NW Suite 3400, Washington DC 20052 USA

2. Department of Epidemiology and Biostatistics, Milken Institute School of Public Health The George Washington University 800 22nd Street NW Suite 7680, Washington DC 20052 USA

3. Department of Computer Science, School of Engineering and Applied Science, and Department of Pediatrics, School of Medicine and Health Sciences, Institute for Computer Graphics The George Washington University 800 22nd Street NW Suite 5830, Washington DC 20052 USA

Funder

National Institutes of Health

National Science Foundation

Publisher

Wiley

Subject

Computer Graphics and Computer-Aided Design,Software

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3. CuiY ChangW NöllT StrickerD.KinectAvatar: fully automatic body capture using a single kinect. Paper presented at: ACCV 2012 International Workshops; 2012 Nov 5–6; Daejeon Korea.Berlin Germany:Springer;2012. p.133–147.

4. DouM FuchsH FrahmJM.Scanning and tracking dynamic objects with commodity depth cameras. Paper presented at: 2013 IEEE International Symposium on Mixed and Augmented Reality (ISMAR); 2013 Oct 1–4; Adelaide Australia.IEEE;2013. p.99–106.

5. 3D self-portraits

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