Simultaneous Matting and Compositing
Abstract
Recent work in matting, hole filling, and compositing allows image elements to be mixed in a new composite image. Previous algorithms for matting foreground elements have assumed that the new background for compositing is unknown. We show that, if the new background is known, the matting algorithm has more freedom to create a successful matte by simultaneously optimizing the matting and compositing operations. We propose a new algorithm, that integrates matting and compositing into a single optimization process. The system is able to compose foreground elements onto a new background more efficiently and with less artifacts compared with previous approaches. In our examples, we show how one can enlarge the foreground while maintaining the wide angle view of the background. We also demonstrate composing a foreground element on top of similar backgrounds to help remove unwanted portions of the background or to re-scale or re-arrange the composite. We compare and contrast our method with a number of previous matting and compositing systems.
Cite
Text
Wang and Cohen. "Simultaneous Matting and Compositing." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2007. doi:10.1109/CVPR.2007.383079Markdown
[Wang and Cohen. "Simultaneous Matting and Compositing." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2007.](https://mlanthology.org/cvpr/2007/wang2007cvpr-simultaneous/) doi:10.1109/CVPR.2007.383079BibTeX
@inproceedings{wang2007cvpr-simultaneous,
title = {{Simultaneous Matting and Compositing}},
author = {Wang, Jue and Cohen, Michael F.},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year = {2007},
doi = {10.1109/CVPR.2007.383079},
url = {https://mlanthology.org/cvpr/2007/wang2007cvpr-simultaneous/}
}