一种基于贝叶斯理论的高效立体匹配方法 
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李娇, 钱惟贤, 陈钱, 顾国华, 任建乐. 一种基于贝叶斯理论的高效立体匹配方法[J]. 激光与光电子学进展, 2014, 51(10): 101001.
Li Jiao, Qian Weixian, Chen Qian, Gu Guohua, Ren Jianle. An Efficient Stereo Matching Method Based on Bayesian Theory[J]. Laser & Optoelectronics Progress, 2014, 51(10): 101001.
[1] M Weber, M Humenberger, W Kubinger. A very fast census- based stereo matching implementation on a graphics processing unit [C]. IEEE Computer Vision Workshop, 2009. 786-793.
[2] Kuk- Jin Yoon, In So Kweon. Adaptive support- weight approach for correspondence search [J].IEEE Transaction on Pattern Analysis and Machine Intelligence, 2006,28(4): 650-656.
[3] F Tombari, S Mattoccia, L Di Stefano. Segmentation- based adaptive support for accurate stereo correspondence [C]. IEEE Pacific-Rim Symposium on Image and Video Technology, 2007. 427-438.
[4] S Roy, I Cox. A maximum- flow formulation of the camera stereo correspondence problem [C]. 6th IEEE International Conference on Computer Vision, 1998. 492-499.
[5] Jian Sun, Nanning Zheng, Y H Shum. Stereo matching using belief propagation [C].IEEE Transaction on Pattern Analysis and Machine Intelligence, 2003, 25(7): 787-800.
[6] Baker H. Depth from edge and intensity based stereo[C]. International Joint Conference on Artificial Intelligence, 1981. 631-636.
[7] U Grenander. Lectures on Pattern Theory [M]. New York: Springer-Veflag, 1981.
[8] S Geman, D Geman. Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1984,PAMI-6 (6): 721-741.
[9] P N Belhumeur. A bayesian-approach to binocular stereopsis [J]. International Journal of Computer vision,1996, 19(3): 237-260.
[10] I J Cox, S L Hingorani, S B Rao. A maximum- likelihood stereo algorithm [J]. Computer Vision and Image Understanding, 1996, 63(3): 542-567.
[11] D Comaniciu, P Meer. Robust analysis of feature spaces: color image segmentation [C]. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1997. 750-755.
[12] 李鹤喜,孙玲云.基于彩色图像分割的置信传播快速立体匹配算法[J].数字技术与应用, 2013, (1): 115-117
[13] P Cignonni, C Montain, R Scopigno. A Fast Divide&Conquer Delaunay Triangulation Algorithm in Ed [J]. IEEE,1997 ,30(5): 333-341.
[14] P Su, R L Scot, Drysdale. A comparison of sequential delaunay traingulation algorithms [C]. 11th ACM Computational Geometry Conference, 1995. 61-70.
[15] Y Boykov, O Veksler. Markov random field with efficient approximation [C]. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1998. 648-655.
[16] A Geiger, M Roser, R Urtasun. Efficient large- scale stereo matching [C]. 10th Asian conference on Computer Vision, 2011. 25-38.
[17] 杨奎, 赵剡, 苏庆华.基于递推自适应权重的快速稠密立体匹配[J].北京航空航天大学学报, 2013, 39(7): 963-967.
Yang Kui, Zhao Yan, Su Qinghua. Matching based on recursive adaptive weight fast dense stereo [J]. Journal of Beijing University of Aeronautics and Astronautics, 2013, 39(7): 963-967.
[18] 郭大波, 卢朝阳, 何华君.一种新的立体视差估计算法[J].西安电子科技大学学报, 2007, 34(3): 337-341.
Guo Dabo, Lu Zhaoyang, He Huajun. A new disparity estimation algorithm [J]. Journal of Xidian University, 2007, 34(3): 337-341.
[19] L Cheng, T Caelli. Bayesian stereo matching [J]. Computer Vision and Image Understanding, 2006, 106(1): 85-96.
[20] 顾骋, 钱惟贤, 陈钱, 等. 基于双目立体视觉的快速人头检测方法[J].中国激光, 2014, 41(1): 0108001.
[21] 高俊钗, 雷志勇, 王泽民.线阵相机的图像校正[J].激光与光电学进展, 2010, 47(9): 091501.
Gao Junchai, Lei Zhiyong, Wang Zemin. Image correction for linear array camera [J]. Laser & Optoelectronics Progress, 2010, 47(9): 091501.
李娇, 钱惟贤, 陈钱, 顾国华, 任建乐. 一种基于贝叶斯理论的高效立体匹配方法[J]. 激光与光电子学进展, 2014, 51(10): 101001. Li Jiao, Qian Weixian, Chen Qian, Gu Guohua, Ren Jianle. An Efficient Stereo Matching Method Based on Bayesian Theory[J]. Laser & Optoelectronics Progress, 2014, 51(10): 101001.
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