This paper describes a PDE-based method for dense depth extraction from multiple wide-baseline images. Emphasis lies on the usage of only a small amount of images. The integration of these multiple wide-baseline views is guided by the relative confidence that the system has in the matching to different views. This weighting is fine-grained in that it is determined for every pixel at every iteration. Reliable information spreads fast at the expense of less reliable data, both in terms of spatial communications within a view and in terms of information exchange between the views. Changes in intensity between images can be handled in a similar fine grained fashion.


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    Title :

    Dense matching of multiple wide-baseline views


    Contributors:
    Strecha, (author) / Tuytelaars, (author) / Van Gool, (author)


    Publication date :

    2003-01-01


    Size :

    1469590 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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