DocumentCode
3014638
Title
Simultaneous Matting and Compositing
Author
Wang, Jue ; Cohen, Michael F.
Author_Institution
Univ. of Washington, Seattle
fYear
2007
fDate
17-22 June 2007
Firstpage
1
Lastpage
8
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.
Keywords
image processing; composite image; image compositing; image elements; image matting foreground elements; Automation; Cameras; Crops; Displays; Filling; Image segmentation; Layout; Mice; Paints; Robustness;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 2007. CVPR '07. IEEE Conference on
Conference_Location
Minneapolis, MN
ISSN
1063-6919
Print_ISBN
1-4244-1179-3
Electronic_ISBN
1063-6919
Type
conf
DOI
10.1109/CVPR.2007.383079
Filename
4270104
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