This paper presents a new deconvolution-based energy formulation for segmenting the image of stripe-based patterns projected by structured light systems. Our framework features an explicit modeling of the blurring introduced by the lens of a structured light system. This allows a significant improvement when working out of focus, a situation which occurs when performing depth measurement. The proposed iterative algorithm includes two steps: a deconvolution and a segmentation. For both steps, a geometrically plausible regularization term is used. It considers the projected displacement induced by the camera, projector and scene configuration. We validate our method using real imagery acquired using off-the-shelf equipment.


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    Titel :

    Deconvolution-Based Structured Light System with Geometrically Plausible Regularization


    Beteiligte:
    Drouin, Marc-Antoine (Autor:in) / Godin, Guy (Autor:in)


    Erscheinungsdatum :

    01.05.2008


    Format / Umfang :

    1285454 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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