DocumentCode :
431580
Title :
Geometry-based estimation of occlusions from video frame pairs
Author :
Ince, Serdar ; Konrad, Janusz
Author_Institution :
Dept. of Electr. & Comput. Eng., Boston Univ., MA, USA
Volume :
2
fYear :
2005
fDate :
18-23 March 2005
Abstract :
The knowledge of occlusions and newly-exposed areas, a natural consequence of changing object juxtaposition in a 3D scene, can be effectively used to improve video coding efficiency, video rate conversion quality and view interpolation fidelity. Although various occlusion estimation methods have been proposed to date, most of them are not robust or are computationally complex. In this paper, we study two simple, well-known occlusion estimation methods, one based on a photometric mismatch between two frames of an image sequence, while the other based on a geometric mismatch. We demonstrate their weaknesses and propose a new geometric method that exhibits good robustness to noise in the data while maintaining low computational complexity.
Keywords :
image sequences; motion estimation; video signal processing; 3D scene object juxtaposition; disparity estimation; geometric mismatch; geometry-based occlusion estimation; image sequence frames photometric mismatch; motion estimation; newly-exposed image areas; noise robustness; video coding efficiency; video frame pairs; video rate conversion quality; view interpolation fidelity; Image converters; Image sequences; Interpolation; Layout; Motion detection; Motion estimation; PSNR; Photometry; Robustness; Video coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
ISSN :
1520-6149
Print_ISBN :
0-7803-8874-7
Type :
conf
DOI :
10.1109/ICASSP.2005.1415559
Filename :
1415559
Link To Document :
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