DocumentCode :
1357663
Title :
Depth video based human model reconstruction resolving self-occlusion
Author :
Jang, In Yeop ; Lee, Kwan H.
Author_Institution :
Gwangju Inst. of Sci. & Technol. (GIST), Gwangju, South Korea
Volume :
56
Issue :
3
fYear :
2010
Firstpage :
1933
Lastpage :
1941
Abstract :
Generation of a 3D model has been actively researched in computer vision area. Especially, modeling of a realistic human is a topic of great interest due to its use in many application areas such as animation and 3DTV. In this paper, a novel method is presented to generate a 3D human model using a sequence of depth images from a monocular TOF (time-of-flight) camera. Mainly, we solve a ´self-occlusion´ problem which occurs in the depth data where a human model is partially occluded by other parts of a human body. This becomes very critical when we want to develop a human model for various applications. We demonstrate the capability of our method by showing experimental results that resolves a multiple occlusion problem.
Keywords :
computer animation; computer vision; image reconstruction; image sequences; solid modelling; three-dimensional television; video signal processing; 3D human model; 3DTV; animation; computer vision; depth video; human model reconstruction; image sequence; monocular time-of-flight camera; self-occlusion; Cameras; Computational modeling; Humans; Noise; Pixel; Solid modeling; Three dimensional displays; Time-of-Flight camera, Depth image, Human modeling, Self-Occlusion problem;
fLanguage :
English
Journal_Title :
Consumer Electronics, IEEE Transactions on
Publisher :
ieee
ISSN :
0098-3063
Type :
jour
DOI :
10.1109/TCE.2010.5606349
Filename :
5606349
Link To Document :
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