DocumentCode :
2641673
Title :
A Color Stereo Vision System for Extraction of 3D Edges of Obstacle
Author :
Cabani, Iyadh ; Toulminet, Gwenaëlle ; Bensrhair, Abdelaziz
Author_Institution :
Lab. PSI, INSA de Rouen, Saint-Etienne-du-Rouvray
fYear :
2006
fDate :
17-20 Sept. 2006
Firstpage :
307
Lastpage :
312
Abstract :
In this article, we present a fast and self-adaptive stereo vision system for road obstacle detection. In a first step, vertical edge points are extracted using the operator color declivity. Then, vertical edge points are associated using dynamic programming based on geometric, non-reversal, uniqueness and color photometric constraints. Wrong matchings are detected and corrected using constraint of disparity continuity applied on 3D shapes which have been previously constructed. Finally, 3D edges of obstacle are extracted. Performance of segmentation, matching and extraction of 3D edges of obstacle are discussed. Experimental results are shown
Keywords :
computational geometry; dynamic programming; edge detection; image colour analysis; image matching; image segmentation; road safety; stereo image processing; 3D edge extraction; color stereo vision system; dynamic programming; edge matching; edge segmentation; road obstacle detection; Calibration; Cameras; Computer vision; Dynamic programming; Nonlinear optics; Optical distortion; Optical sensors; Optical variables control; Roads; Stereo vision;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Transportation Systems Conference, 2006. ITSC '06. IEEE
Conference_Location :
Toronto, Ont.
Print_ISBN :
1-4244-0093-7
Electronic_ISBN :
1-4244-0094-5
Type :
conf
DOI :
10.1109/ITSC.2006.1706759
Filename :
1706759
Link To Document :
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