In this paper we present a novel algorithm for very fast segmentation of range images into both planar and curved surface patches. In contrast to other known segmentation methods our approach makes use of high-level features (curve segments) as segmentation primitives instead of individual pixels. This way the amount of data can be significantly reduced and a very fast segmentation algorithm is obtained. The proposed algorithm has been tested on a large number of real range images and demonstrated good results. With an optimized implementation our method has the potential to operate in quasi real-time (a few range images per second).


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    Title :

    Fast range image segmentation using high-level segmentation primitives


    Contributors:
    Jiang, X.Y. (author) / Meier, U. (author) / Bunke, H. (author)


    Publication date :

    1996-01-01


    Size :

    629980 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Fast Range Image Segmentation Using High-Level Segmentation Primitives

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