In this paper, we propose a method for jointly computing optical flow and segmenting video while accounting for mixed pixels (matting). Our method is based on statistical modeling of an image pair using constraints on appearance and motion. Segments are viewed as overlapping regions with fractional (/spl alpha/) contributions. Bidirectional motion is estimated based on spatial coherence and similarity of segment colors. Our model is extended to video by chaining the pairwise models to produce a joint probability distribution to be maximized. To make the problem more tractable, we factorize the posterior distribution and iteratively minimize its parts. We demonstrate our method on frame interpolation.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Consistent segmentation for optical flow estimation


    Beteiligte:
    Zitnick, C.W. (Autor:in) / Jojic, N. (Autor:in) / Sing Bing Kang, (Autor:in)


    Erscheinungsdatum :

    01.01.2005


    Format / Umfang :

    847379 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Consistent Segmentation for Optical Flow Estimation

    Zitnick, C. / Jojic, N. / Kang, S. et al. | British Library Conference Proceedings | 2005


    Consistent link flow estimation from counts

    van Zuylen, Henk J. / Branston, David M. | Elsevier | 1981




    Spatially Consistent 3D Motion Segmentation

    Schindler, K. | British Library Conference Proceedings | 2005