This paper addresses the well-known problem of natural image matting. It proposes a whole new framework that could effectively deals with the confused boundaries such as hair, furs and other complicated situations. We take the natural image matting problem as a pattern recognition problem and use the recently developed non-negative matrix factorization technique to solve it. Experimental results show that our approach could properly handle the confused boundaries. Compared with other algorithms visually, the results of our algorithm are comparable to the algorithms that are the best of nowadays.


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    Titel :

    Natural image matting with non-negative matrix factorization


    Beteiligte:
    Wang Kun, (Autor:in) / Zhang Nanning, (Autor:in) / Liu Weixiang, (Autor:in)


    Erscheinungsdatum :

    01.01.2005


    Format / Umfang :

    294596 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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