NDLI: Symmetric multi-view stereo reconstruction from planar camera arrays

Content Provider	IEEE Xplore Digital Library
Author	Maitre, M. Shinagawa, Y. Do, M.N.
Copyright Year	2008
Description	Author affiliation: Microsoft, Redmond, WA (Maitre, M.)
Abstract	We present a novel stereo algorithm which performs surface reconstruction from planar camera arrays. It incorporates the merits of both generic camera arrays and rectified binocular setups, recovering large surfaces like the former and performing efficient computations like the latter. First, we introduce a rectification algorithm which gives freedom in the design of camera arrays and simplifies photometric and geometric computations. We then define a novel set of data-fusion functions over 4-neighborhoods of cameras, which treat all cameras symmetrically and enable standard binocular stereo algorithms to handle arrays with arbitrary number of cameras. In particular, we introduce a photometric fusion function which handles partial visibility and extracts depth information along both horizontal and vertical baselines. Finally, we show that layered depth images and sprites with depth can be efficiently extracted from the rectified 3D space. Experimental results on real images confirm the effectiveness of the proposed method, which reconstructs dense surfaces larger by 20% on Tsukuba.
Starting Page	1
Ending Page	8
File Size	411860
Page Count	8
File Format	PDF
ISBN	9781424422425
ISSN	10636919
DOI	10.1109/CVPR.2008.4587425
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-06-23
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cameras Image reconstruction Surface reconstruction Data mining Stereo image processing Surface treatment Sprites (computer) Photometry Planar arrays Reconstruction algorithms
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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