We describe an efficient GPU algorithm which extracts multiple contours from an image. The algorithm uses crack codes to generate contours which sit logically between adjacent image values; it works scan line by scan line and it can generate multiple contours in parallel with an image streamed directly from a camera. Whilst specifically targeted at detecting object contours in stereo disparity maps, it can also be used for general segmentation with a trivial change to the code generating the crack code masks. Using a480 ALU 1.4 GHz nVidia GPU, it can generate ∼ 25000 contours from a real 2048 × 768 resolution 128 level disparity map image in ∼ 29 ms if the contours are further processed in the GPU (additional ∼5 ms to calculate shape moments) or ∼ 39 ms if contours are transferred to the host. This is ∼ 40 times faster than an OpenCV CPU implementation.


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    Titel :

    Fast accurate contours for 3D shape recognition


    Beteiligte:
    Butt, M. Usman (Autor:in) / Morris, John (Autor:in) / Patel, Nitish (Autor:in) / Biglari-Abhari, Morteza (Autor:in)


    Erscheinungsdatum :

    2015-06-01


    Format / Umfang :

    1007599 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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