|
[1] Szeliski R, Zabih R, Scharstein D, et al. A comparative study of energy minimization methods for Markov random fields with smoothness-based priors
[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2008,30(6): 1068-1080.
[2] Felzenszwalb P F, Huttenlocher D P. Efficient belief propagation for early vision
[J]. International Journal of Computer Vision, 2006,70(1):41-54.
[3] Brunton A, Chang S, Roth G. Belief propagation on the GPU for stereo vision //the 3rd Canadian Conference on Computer and Robot Vision, 2006:76-82.
[4] Yang Q, Wang L, Yang R, et al. Real-time global stereo matching using hierarchical belief propagation //British Machine Vision Conference(BMVC). 2006:989-998.
[5] Grauer-Gray S, Kambhamettu C, Palaniappan K. GPU implementation of belief propagation using CUDA for cloud tracking and reconstruction // IAPR Workshop on Pattern Recognition in Remote Sensing (PRRS 2008). 2008:1-4.
[6] Liang C K, Cheng C C, Lai Y C, et al. Hardware-efficient belief propagation // IEEE Conference on Computer Vision and Pattern Recognition(CVPR 2009). 2009:80-87.
[7] Grauer-Gray S, Kambhamettu C. Hierarchical belief propagation to reduce search space using CUDA for stereo and motion estimation //2009 Workshop on Applications of Computer Vision (WACV). 2009:1-8.
[8] Ihler A, Fisher J, Willsky A, Loopy belief propagation: Convergence and effects of message errors
[J]. Journal of Machine Learning Research, 2006,6(1): 905-936.
[9] Sun J, Zheng N N, Shum H Y. Stereo matching using belief propagation
[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2003,25(7): 787-800.
[10] Scharstein D, Szeliski R. A taxonomy and evaluation of dense two-frame stereo correspondence algorithms
[J]. International Journal of Computer Vision, 2002,47(1-3): 7-42.
[11] Yu L, Guo L, Yuan H X, A novel method of stereo matching based on hierarchical belief-propagation
[J]. Journal of Image and Graphics, 2011,16(1):103-109(in Chinese). 郁理,郭立,袁红星. 基于分级置信度传播的立体匹配新方法
[J]. 中国图像图形学报, 2011,16(1):103-109.
|
