Segmented-Region Based Stereo Reconstruction

Autor: Kengo Nakajima, Isamu Nose, Kenzo Tsuji, Shigeru Kuroe
Rok vydání: 1986
Předmět:
Zdroj: Computer Vision for Robots.
ISSN: 0277-786X
Popis: 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.
Databáze: OpenAIRE