Segmented-Region Based Stereo Reconstruction
Shigeru Kuroe, Kengo Nakajima, Isamu Nose, Kenzo Tsuji · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1986
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.