A methodology for evaluating range image segmentation algorithms is proposed. This methodology involves (a) a common set of images that have manually specified ground truth and (b) a set of defined performance metrics for instances of correctly segmented, missed and noise regions, over- and under-segmentation, and accuracy of the recovered geometry. A tool is used to objectively compare a machine generated segmentation against the specified ground truth. Three research groups have contributed to evaluate their own algorithm for segmenting a range image into planar patches.


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    Title :

    Range image segmentation: the user's dilemma


    Contributors:
    Hoover, A. (author) / Jean-Baptiste, G. (author) / Xiaoyi Jiang, (author) / Flynn, P.J. (author) / Bunke, H. (author) / Goldgof, D. (author) / Bowyer, K. (author)


    Publication date :

    1995-01-01


    Size :

    635979 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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