This research features a novel approach that efficiently detects depth edges in real world scenes. Depth edges play a very important role in many computer vision problems because they represent object contours. We strategically project structured light and exploit distortion of light pattern in the structured light image along depth discontinuities to reliably detect depth edges. Distortion along depth discontinuities may not occur or be large enough to detect depending on the distance from the camera or projector. For practical application of the proposed approach, we have presented methods that guarantee the occurrence of the distortion along depth discontinuities for a continuous range of object location. Experimental results show that the proposed method accurately detect depth edges of human hand and body shapes as well as general objects.


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    Titel :

    Structured Light Based Depth Edge Detection for Object Shape Recovery


    Beteiligte:
    Cheolhwon Kim, (Autor:in) / Jiyoung Park, (Autor:in) / Juneho Yi, (Autor:in) / Turk, M. (Autor:in)


    Erscheinungsdatum :

    01.01.2005


    Format / Umfang :

    572574 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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