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Author Nakamura, Y. ♦ Matsuura, T. ♦ Satoh, K. ♦ Ohta, Y.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©1996
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Cameras ♦ Statistics ♦ Layout ♦ Noise robustness ♦ Stereo vision ♦ Lenses ♦ Geometrical optics
Abstract In stereo algorithms with more than two cameras, the improvement of accuracy is often reported since they are robust against noise. However, another important aspect of the polynocular stereo, that is the ability of occlusion detection, has been paid less attention. We intensively analyzed the occlusion in the camera matrix stereo (SEA) and developed a simple but effective method to detect the presence of occlusion and to eliminate its effect in the correspondence search. By considering several statistics on the occlusion and the accuracy in the SEA, we derived a few base masks which represent occlusion patterns and are effective for the detection of occlusion. Several experiments using typical indoor scenes showed quite good performance to obtain dense and accurate depth maps even at the occluding boundaries of objects.
Description Author affiliation: Inst. of Inf. Sci. & Electron., Tsukuba Univ., Ibaraki, Japan (Nakamura, Y.; Matsuura, T.; Satoh, K.; Ohta, Y.)
ISBN 0818672595
ISSN 10636919
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 1998-06-18
Publisher Place USA
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 1.01 MB
Page Count 8
Starting Page 371
Ending Page 378

Source: IEEE Xplore Digital Library