A Fast and Self-adaptive Color Stereo Vision Matching; a first step for Roa Ostacle Detection

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