The Community for Technology Leaders
Green Image
Issue No. 05 - May (2010 vol. 32)
ISSN: 0162-8828
pp: 899-909
Jizhou Gao , University of Kentucky, Lexington
Liang Wang , University of Kentucky, Lexington
Ruigang Yang , University of Kentucky, Lexington
Jiejie Zhu , University of Central Florida, Orlando
ABSTRACT
Time-of-flight range sensors and passive stereo have complimentary characteristics in nature. To fuse them to get high accuracy depth maps varying over time, we extend traditional spatial MRFs to dynamic MRFs with temporal coherence. This new model allows both the spatial and the temporal relationship to be propagated in local neighbors. By efficiently finding a maximum of the posterior probability using Loopy Belief Propagation, we show that our approach leads to improved accuracy and robustness of depth estimates for dynamic scenes.
INDEX TERMS
Stereo, MRFs, time-of-flight sensor, data fusion, global optimization.
CITATION
Jizhou Gao, Liang Wang, Ruigang Yang, Jiejie Zhu, "Spatial-Temporal Fusion for High Accuracy Depth Maps Using Dynamic MRFs", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 32, no. , pp. 899-909, May 2010, doi:10.1109/TPAMI.2009.68
98 ms
(Ver 3.1 (10032016))