DocumentCode
3191985
Title
Using surface model to correct and fit disparity data in stereo vision
Author
LUO, Wei ; MaÎtre, Henri
Author_Institution
Dept. Images, Telecom Paris, France
Volume
i
fYear
1990
fDate
16-21 Jun 1990
Firstpage
60
Abstract
A method of stereo vision adapted to 3D reconstruction of urban scenes is presented. A generic geometric model for objects in the scene is assumed. Uniform intensity regions in the images are hypothesized to correspond to single surfaces in the scene. The hypothesis is either verified or refuted by testing whether matches in each region fit the model or not. Disparity errors are detected using a disparity gradient limit before interpolation. The method is tested on real images, and results are given
Keywords
computer vision; computerised pattern recognition; 3D reconstruction; disparity data; disparity error detection; disparity gradient limit; generic geometric model; interpolation; stereo vision; surface model; uniform intensity regions; urban scenes; Image reconstruction; Image segmentation; Layout; Photometry; Shape; Solid modeling; Stereo vision; Surface fitting; Surface reconstruction; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1990. Proceedings., 10th International Conference on
Conference_Location
Atlantic City, NJ
Print_ISBN
0-8186-2062-5
Type
conf
DOI
10.1109/ICPR.1990.118065
Filename
118065
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