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JRM Vol.20 No.1 pp. 159-170
doi: 10.20965/jrm.2008.p0159
(2008)

Paper:

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Mask Scale Adjustment (MSA) in Stereo Matching

Zheng Xu, Masanori Idesawa, and Qin Wang

Graduate School of Information Systems, The University of Electro-Communications, 1-5-1 Choufugaoka, Choufu-shi, Tokyo 182-8585, Japan

Received:
August 27, 2007
Accepted:
December 14, 2007
Published:
February 20, 2008
Creative Commons License
Keywords:
mask scale adjusting, stereo matching, scale difference, binocularly unpaired part, volume perception
Abstract
We proposed mask scale adjustment method for stereo matching inspired by volume perception in human visual perception. Stereo matching is required to obtain 3-dimensional (3D) information from stereo pair images, and many sophisticated approaches have been developed to precisely obtain correspondence in stereo pairs. We found a forgotten problem not solved by these methods inherent in stereo matching and originating in the scale difference between stereo pair images. We propose mask scale adjustment for improving matching performance, especially in adjacent areas of binocularly unpaired parts, on objects with curved surfaces. Implementing our proposal into conventional stereo matching would yield more precise 3D information on objects and realize of volume perception.
Cite this article as:
Z. Xu, M. Idesawa, and Q. Wang, “Mask Scale Adjustment (MSA) in Stereo Matching,” J. Robot. Mechatron., Vol.20 No.1, pp. 159-170, 2008.
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