TY - GEN
T1 - Natural image matting with non-negative matrix factorization
AU - Wang, Kun
AU - Zheng, Nanning
AU - Liu, Weixiang
PY - 2005
Y1 - 2005
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/33749591832
U2 - 10.1109/ICIP.2005.1530273
DO - 10.1109/ICIP.2005.1530273
M3 - 会议稿件
AN - SCOPUS:33749591832
SN - 0780391349
SN - 9780780391345
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 1186
EP - 1189
BT - IEEE International Conference on Image Processing 2005, ICIP 2005
T2 - IEEE International Conference on Image Processing 2005, ICIP 2005
Y2 - 11 September 2005 through 14 September 2005
ER -