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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

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


    Contributors:
    Cabani, I. (author) / Toulminet, G. (author) / Bensrhair, A. (author)


    Publication date :

    2006-01-01


    Size :

    5296036 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    A Fast and Self-adaptive Color Stereo Vision Matching; a First Step for Road Obstacle Detection

    Cabani, I. / Toulminet, G. / Bensrhair, A. | British Library Conference Proceedings | 2006


    Fast stereo matching using adaptive guided filtering

    Yang, Q. / Ji, P. / Li, D. et al. | British Library Online Contents | 2014


    Color Motion Stereo Based on Improved Stereo Matching

    Mozerov, M. G. / Choi, T. S. / Ovseyevich, I. A. | British Library Online Contents | 2002


    Contrast-invariant Obstacle Detection System using Color Stereo Vision

    Cabani, Iyadh / Toulminet, Gwenaelle / Bensrhair, Abdelaziz | IEEE | 2008


    People detection and tracking using stereo vision and color

    Munoz-Salinas, R. / Aguirre, E. / Garcia-Silvente, M. | British Library Online Contents | 2007