NDLI: Parallel projections for stereo reconstruction

Content Provider	IEEE Xplore Digital Library
Author	Jin-Xiang Chai Heung-Yeung Shum
Copyright Year	2000
Description	Author affiliation: Microsoft Res., China (Jin-Xiang Chai)
Abstract	This paper proposes a novel technique to computing geometric information from images captured under parallel projections. Parallel images are desirable for stereo reconstruction because parallel projection significantly reduces foreshortening. As a result, correlation based matching becomes more effective. Since parallel projection cameras are not commonly available, we construct parallel images by rebinning a large sequence of perspective images. Epipolar geometry, depth recovery and projective invariant for both 1D and 2D parallel stereos are studied. From the uncertainty analysis of depth reconstruction, it is shown that parallel stereo is superior to both conventional perspective stereo and the recently developed multiperspective stereo for vision reconstruction, in that uniform reconstruction error is obtained in parallel stereo. Traditional stereo reconstruction techniques, e.g. multi-baseline stereo, can still be applicable to parallel stereo without any modifications because epipolar lines in a parallel stereo are perfectly straight. Experimental results further confirm the performance of our approach.
Starting Page	493
Ending Page	500
File Size	390372
Page Count	8
File Format	PDF
ISBN	0769506623
ISSN	10636919
DOI	10.1109/CVPR.2000.854892
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-06-15
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Stereo image processing Image reconstruction Electrical capacitance tomography Cameras Uncertainty Shape measurement Layout Read only memory Ores Geometry
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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