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.
Natural image matting with non-negative matrix factorization
IEEE International Conference on Image Processing 2005 ; 2 ; II-1186
01.01.2005
294596 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Natural Image Matting with Non-Negative Matrix Factorization
British Library Conference Proceedings | 2005
|Natural image matting through overlapping neighborhood propagation [8350-118]
British Library Conference Proceedings | 2012
|Geodesic Matting: A Framework for Fast Interactive Image and Video Segmentation and Matting
British Library Online Contents | 2009
|Image and Video Matting with Membership Propagation
Springer Verlag | 2007
|Max-margin Non-negative Matrix Factorization
British Library Online Contents | 2012
|