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Proceedings Paper

Segmented-Region Based Stereo Reconstruction
Author(s): Shigeru Kuroe; Kengo Nakajima; Isamu Nose; Kenzo Tsuji
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Paper Abstract

This paper describes a segmented-region based stereo reconstruction of planar-surface objects. Since there are a great number of matching-points in edge based stereo while there are a much smaller number of matching-regions in segmented-region based stereo, matching can be achieved much easilier in segmented-region based stereo than in edge based stereo. Images are first segmented on reduced images. Boundaries of segmented regions are refined on the original images. Similarity of two regions in both images determines match of regions. A set of points is selected from both matched regions to obtain an equation of a plane in 3-D space. The projected region on the plane is a surface of an object in 3-D space. A demonstration is achieved on images of our laboratory indoor scene.

Paper Details

Date Published: 9 June 1986
PDF: 6 pages
Proc. SPIE 0595, Computer Vision for Robots, (9 June 1986); doi: 10.1117/12.952251
Show Author Affiliations
Shigeru Kuroe, Oki Electric Industry Co., Ltd. (Japan)
Kengo Nakajima, Oki Electric Industry Co., Ltd. (Japan)
Isamu Nose, Oki Electric Industry Co., Ltd. (Japan)
Kenzo Tsuji, Oki Electric Industry Co., Ltd. (Japan)


Published in SPIE Proceedings Vol. 0595:
Computer Vision for Robots
Olivier D. Faugeras; Robert B. Kelley, Editor(s)

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