DocumentCode
3014658
Title
Flash Cut: Foreground Extraction with Flash and No-flash Image Pairs
Author
Jian Sun ; Sun, Jian ; Kang, Sing Bing ; Xu, Zong-Ben ; Tang, Xiaoou ; Shum, Heung-Yeung
Author_Institution
Xi´´an Jiaotong Univ., Xi´´an
fYear
2007
fDate
17-22 June 2007
Firstpage
1
Lastpage
8
Abstract
In this paper, we propose a novel approach for foreground layer extraction using flash/no-flash image pairs, which we call flash cut. Flash cut is based on the simple observation that only the foreground is significantly brightened by the flash and the background appearance change is very small, if the background is distant. Changes due to flash, motion, and color information are fused in an MRF framework to produce high quality segmentation results. Flash cut handles some amount of camera shake, and foreground motion, which makes it practical for anyone with a flash-equipped camera to use. We validate our approach on a variety of indoor and outdoor examples.
Keywords
feature extraction; image segmentation; flash cut; foreground extraction; image pairs; image segmentation; Asia; Cameras; Computer vision; Data mining; Image edge detection; Image segmentation; Infrared imaging; Layout; Robustness; Stereo vision;
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.2007.383080
Filename
4270105
Link To Document