• joint optimization for object class segmentation and dense stereo reconstruction

    جزئیات بیشتر مقاله
    • تاریخ ارائه: 1392/07/24
    • تاریخ انتشار در تی پی بین: 1392/07/24
    • تعداد بازدید: 953
    • تعداد پرسش و پاسخ ها: 0
    • شماره تماس دبیرخانه رویداد: -
     the problems of dense stereo reconstruction and object class segmentation can both be formulated as random field labeling problems, in which every pixel in the image is assigned a label corresponding to either its disparity, or an object class such as road or building. while these two problems are mutually informative, no attempt has been made to jointly optimize their labelings. in this work we provide a flexible framework configured via cross-validation that unifies the two problems and demonstrate that, by resolving ambiguities, which would be present in real world data if the two problems were considered separately, joint optimization of the two problems substantially improves performance.

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