DocumentCode :
2485487
Title :
A Fast and Self-adaptive Color Stereo Vision Matching; a first step for Roa Ostacle Detection
Author :
Cabani, Iyadh ; Toulminet, Gwenaelle ; Bensrhair, Abdelaziz
Author_Institution :
INSA de Rouen, Campus du Madrillet, Saint-Etienne-du-Rouvray
fYear :
0
fDate :
0-0 0
Firstpage :
58
Lastpage :
63
Abstract :
In this article, we present a fast and self-adaptive color stereo vision matching algorithm which is a first step in the conception of a color stereo vision system for road obstacle detection. Our color matching approach associates vertical edges points using dynamic programming. Edges points are extracted using the operator color declivity. Performance of segmentation and matching are discussed. Experimental results are shown
Keywords :
dynamic programming; edge detection; image colour analysis; image matching; image segmentation; object detection; stereo image processing; traffic engineering computing; dynamic programming; edge extraction; operator color declivity; road obstacle detection; self-adaptive color stereo vision matching; Charge coupled devices; Charge-coupled image sensors; Color; Computer vision; Dynamic programming; Image segmentation; Pixel; Roads; Snow; Stereo vision;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Vehicles Symposium, 2006 IEEE
Conference_Location :
Tokyo
Print_ISBN :
4-901122-86-X
Type :
conf
DOI :
10.1109/IVS.2006.1689605
Filename :
1689605
Link To Document :
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