NDLI: Fast construction of object correspondence in stereo camera system: an example to human face capturing system

Content Provider	IEEE Xplore Digital Library
Author	Fai Chan Jiansheng Chen Yiu-Sang Moon
Copyright Year	2008
Description	Author affiliation: Dept. of Comput. Sci. & Eng., Chinese Univ. of Hong Kong, Hong Kong (Fai Chan; Jiansheng Chen; Yiu-Sang Moon)
Abstract	In the literature, stereo matching is used for building pixel correspondences for stereo image pairs. Such correspondences can serve as fundamentals for applications such as 3D scene reconstruction. In some applications, however, stereo vision is adopted for object localization so that only object correspondences are required. However, existing pixel based stereo matching approaches are computationally inefficient for these applications. In this paper, we address the problem of object correspondence construction in stereo camera systems by using a fast and accurate algorithm adopting reverse stereo triangulation. This algorithm is based on a belief that any incorrect object pair will demonstrate inconsistency in its spatial location calculated from reverse stereo triangulation, so that correct object pairs can be identified accurately from all possible object pairs. We present experimental results from a dual camera human face capturing system in which more than 99% genuine object correspondences can be accurately identified, while 100% of falsely detected objects are eliminated. Besides, our proposed method can handle no less than 100 object pairs within 1 ms in a P4 1.5 GHz desktop PC.
Starting Page	1
Ending Page	6
File Size	2748094
Page Count	6
File Format	PDF
ISBN	9781424420001
DOI	10.1109/WMVC.2008.4544047
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-01-08
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer science Moon Humans Object detection Cameras Stereo vision Application software Face detection Image reconstruction Pixel
Content Type	Text
Resource Type	Article

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