DocumentCode :
2348922
Title :
Alpha channel estimation in high resolution images and image sequences
Author :
Hillman, P. ; Hannah, J. ; Renshaw, D.
Author_Institution :
Dept. of Electron. & Electr. Eng., Edinburgh Univ., UK
Volume :
1
fYear :
2001
fDate :
2001
Abstract :
For motion picture special effects, it is often necessary to take a source image of an actor, segment the actor from the unwanted background, and then composite over a new background. The standard approach requires the unwanted background to be a blue screen. While this technique is capable of handling areas where the foreground blends into the background, the physical requirements present many practical problems. This paper presents an algorithm that requires minimal human interaction to segment motion picture resolution images and image sequences. We show that it can be used not only to segment badly lit or noisy blue screen images, but also to segment actors where the background is more varied.
Keywords :
image segmentation; image sequences; alpha channel estimation; badly lit blue screen images; high resolution images; image sequences; motion picture special effects; noisy blue screen images; segment actors; segmentation; Background noise; Bandwidth; Channel estimation; Humans; Image edge detection; Image resolution; Image segmentation; Image sequences; Motion pictures; Video compression;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 2001. CVPR 2001. Proceedings of the 2001 IEEE Computer Society Conference on
ISSN :
1063-6919
Print_ISBN :
0-7695-1272-0
Type :
conf
DOI :
10.1109/CVPR.2001.990648
Filename :
990648
Link To Document :
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