In order to solve the problem that dynamic programming (DP) stereo algorithm is slow, a local-global stereo matching algorithm is presented. In this method, local and global stereo algorithms are united to apply to the stereo vision field.

    Design/methodology/approach

    Local and DP stereo algorithms are used. Multi-resolution images are obtained by pyramid algorithm and matching costs are gained by using eight-stripe correlation window.

    Findings

    The time of disparity space image creation is greatly reduced because matching costs are computed by eight-stripe window. Candidate ground control points (GCPs) are gained in the low-resolution image. The total time of gaining GCPs is decreased in the extreme. Whole algorithm has a high matching-rate and a fast speed.

    Research limitations/implications

    The time of the whole algorithm is still a little bigger than local algorithm.

    Practical implications

    The findings can be used in the stereo vision system equipped with planet vehicle.

    Originality/value

    Local and global stereo algorithms are united to apply to the stereo vision field. Matching costs are gained by using eight-stripe correlation window.


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    Title :

    Local-global stereo matching algorithm


    Contributors:
    Zhao, Jie (author) / Yu, Shuchun (author) / Cai, Hegao (author)

    Published in:

    Publication date :

    2006-07-01


    Size :

    4 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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