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Direct Reconstruction of Planar Surfaces by Stereo Vision
Yasushi KANAZAWA Kenichi KANATANI
IEICE TRANSACTIONS on Information and Systems
Publication Date: 1995/07/25
Print ISSN: 0916-8532
Type of Manuscript: PAPER
Category: Image Processing, Computer Graphics and Pattern Recognition
reliability of 3-D reconstruction, stereo vision, plane fitting, statistical optimization, noise estimation,
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This paper studies the problem of reconstructing a planar surface from stereo images of multiple feature points that are known to be coplanar in the scene. We present a direct method by applying maximum likelihood estimation based on a statistical model of image noise. The significant fact about our method is that not only the 3-D position of the surface is reconstructed accurately but its reliability is also computed quantitatively. The effectiveness of our method is demonstrated by doing numerical simulation.