NDLI: Depth video based human model reconstruction resolving self-occlusion

Content Provider	IEEE Xplore Digital Library
Author	In Yeop Jang Lee, K.H.
Copyright Year	1975
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.
Sponsorship	IEEE Consumer Electronics Society
File Size	6667856
File Format	PDF
ISSN	00983063
Volume Number	56
Issue Number	3
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Three dimensional displays Humans Cameras Noise Pixel Solid modeling Computational modeling Time-of-Flight camera, Depth image, Human modeling, Self-Occlusion problem
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Media Technology

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Depth video based human model reconstruction resolving self-occlusion