DocumentCode :
398558
Title :
Dynamic depth recovery using belief propagation
Author :
Xu, Yihua ; Wang, Dongsheng ; Heung-yeung ; Ma, Songde
Author_Institution :
Multimodal User Interface Group, Chinese Acad. of Sci., Beijing, China
Volume :
1
fYear :
2003
fDate :
14-17 Sept. 2003
Abstract :
In this paper, we study the dynamic stereo problem, i.e. to recover the shape of dynamic scene from multiple synchronized image sequences. To incorporate both spatial and temporal information for depth recovery, we propose a statistical framework that uses pixel process model to encode temporal coherence, and Markov random fields (MRFs) for spatial coherence. In this framework, the dynamic depth recovery problem is finally formulated as an optimization problem, and is optimized by using the belief propagation algorithm. Experimental results with the real dynamic scenes illustrate our method´s ability of robust shape recovery.
Keywords :
Markov processes; image sequences; multidimensional signal processing; optimisation; statistical analysis; stereo image processing; synchronisation; MRFs; Markov random fields; belief propagation algorithm; dynamic depth recovery problem; dynamic stereo problem; multiple synchronized image sequences; optimization problem; pixel process model; statistical framework; Belief propagation; Computer interfaces; Image motion analysis; Image sequences; Layout; Markov random fields; Robustness; Shape; Stereo vision; User interfaces;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on
ISSN :
1522-4880
Print_ISBN :
0-7803-7750-8
Type :
conf
DOI :
10.1109/ICIP.2003.1246979
Filename :
1246979
Link To Document :
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