Image Matting with Local and Nonlocal Smooth Priors

Abstract

In this paper we propose a novel alpha matting method with local and nonlocal smooth priors. We observe that the manifold preserving editing propagation [4] essentially introduced a nonlocal smooth prior on the alpha matte. This nonlocal smooth prior and the well known local smooth prior from matting Laplacian complement each other. So we combine them with a simple data term from color sampling in a graph model for nature image matting. Our method has a closed-form solution and can be solved efficiently. Compared with the state-of-the-art methods, our method produces more accurate results according to the evaluation on standard benchmark datasets.

Cite

Text

Chen et al. "Image Matting with Local and Nonlocal Smooth Priors." Conference on Computer Vision and Pattern Recognition, 2013. doi:10.1109/CVPR.2013.248

Markdown

[Chen et al. "Image Matting with Local and Nonlocal Smooth Priors." Conference on Computer Vision and Pattern Recognition, 2013.](https://mlanthology.org/cvpr/2013/chen2013cvpr-image/) doi:10.1109/CVPR.2013.248

BibTeX

@inproceedings{chen2013cvpr-image,
  title     = {{Image Matting with Local and Nonlocal Smooth Priors}},
  author    = {Chen, Xiaowu and Zou, Dongqing and Zhou, Steven Zhiying and Zhao, Qinping and Tan, Ping},
  booktitle = {Conference on Computer Vision and Pattern Recognition},
  year      = {2013},
  doi       = {10.1109/CVPR.2013.248},
  url       = {https://mlanthology.org/cvpr/2013/chen2013cvpr-image/}
}