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一种基于图割理论的快速立体匹配算法 被引量:2

A fast sereo matching algorithm based on graph cuts theory
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摘要 针对传统的立体匹配算法中存在的低纹理区域和遮挡区域匹配精度低、实时性不好等问题,提出了一种基于图割理论的立体匹配算法。把图像分割成色彩单一的不同区域;计算初始视差图,利用可靠点求取各分割区域的平面模板参数,对模板参教相同的相邻区域进行融合;构造全局能量函数,采用图割算法求取全局能量最小的视差最优分配。实验结果表明,该算法对低纹理区域和遮挡区域均有较好的匹配结果,能够满足高精度、高实时性的要求。 Aiming at the problems that traditional stereo matching algorithm has its drawbacks of low resolution and poor real time, this paper presents a fast stereo matching algorithm based on graph cuts theory. First, the image is divided into different seg- ments of a single color. Then calculating the initial disparity, the plane parameters of single segment are computed only using reli- able pixels, and group neighboring segments with the same plane parameters. Finally construct a global energy function, minimiza- tion of the cost function is achieved by graph cuts. The experimental results indicate that the algorithm has a better performance in low texture regions and occluded portions, and can meet both demands for high resolution and real time.
出处 《微型机与应用》 2010年第10期35-38,共4页 Microcomputer & Its Applications
关键词 立体匹配 图割 图像分割 能量函数 视差 stereo matching graph cut image segmentation energy function disparity
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参考文献11

  • 1张爱武,李明哲,胡少兴.一种用于三维曲面视觉测量的立体精匹配方法[J].光学技术,2001,27(2):115-117. 被引量:7
  • 2HONG L, CHEN G. Segment-based stereo matching using graph cuts[C]. Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004, ( 1 ): 74- 81.
  • 3TAO H, SAWHNEY H S, KUMAR R. A global matching framework for stereo computation[C].Proceedings of the 8th International Conference on Computer Vision, Vancouver, Canada, 2001 : 532- 539.
  • 4BLEYER M, GELANTZ M. Graph-cut-based stereo matching using image segmentation with symmetrical treatment of occlusions [J]. Signal Processing: Image Communication,Special Issue on Three-Dimensional Video and Television, 2007,22 (2): 127 - 143.
  • 5FORSTMANN S, OHYA J, KANOU Y. Real-time stereo by using dynamic programming[J].CVPR,2004,3(7):29-37.
  • 6KOLMOGOROV V, ZABIH R. Computing visual correspondence with occlusions using graph cuts[C]. Proceedings of the 8th International Conference on Computer Vision,Vancouver, Canada,2001:508-515.
  • 7BOYKOV Y, KOLMOGOROV V. An experimental comparison of min-cut/max-flow algorithms for energy minimization in computer vision[J].IEEE Transactions on Pattern Analysis and Machine Intelligence, 2004,26(9):1124 -1137.
  • 8FELZENSZWALB P F, HUTI'ENLOCHER D P. Efficient graph-based image segmentation[J]. International Journal of Computer Vision,2004,59(2): 167-181.
  • 9ALI M, SHAH J R, AHMED M. 3D reconstruction and model acquisition of objects in real world scenes using stereo imagery[C].Proceedings of the 7th International Multi Topic Conference,Islamabad, Pakistan, 2003 : 32-37.
  • 10SCHARSTEIN D, SZELISKI R. A taxonomy and evaluation of dense two-frame stereo correspondence algorithms [J]. International Journal of Computer Vision, 2002,47 (1): 7-42.

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同被引文献48

  • 1李立武,汪增福.一种基于图像分割的动态规划立体匹配算法[J].电子技术(上海),2010(10):30-32. 被引量:1
  • 2Nils Einecke, Julian Eggert. A Two-Stage Correlation Method for Stereoscopic Depth Estimation[J]. Transactions on Pattern Analysis and Machine Intelligence, 2010 : 277-234.
  • 3Intae Na, Junghun Choi, Hong Jeong. Robust Fast Belief Propagation for Real-time Stereo Matching [C]. In Advanced Communication Technology, 2009, llth International Conference, 2009: 1175- 1178.
  • 4Gao Hongwei, Chen Liang, Liu Xiaoyang, et al. Research of an Improved Dense Matching Algorithm Based on Graph Cuts[C]. In World Congress on Intelligent Control and Automation, 2010: 6053- 6057.
  • 5Yuan Hui, Chang Yilin, Lu Zhaoyang, et al. Improved Depth Estimation Algorithm for Preserving Depth Edge and Temporal Consistency [C]. In IEEE COnference on Industrial Electronics and Applicationsis, 2010 : 1671-1676.
  • 6Funt B, Ciurea F, McCann J. "Retinex in Matlab,"Proc. Eighth Color Imaging Conf[C]. Color Science Systems and Applications,2000 : 1233-1238.
  • 7KimmelR., Elad M., Shaked, D. et al. A Variational Framework for Retinex [J].Int'l J. Computer Vision,2003, 52(1) :7-23.
  • 8Finlayson G D, Hordley S D, Hubel P M. Color by Correlation: A Simple, Unifying Framework for Color Constancy[J]. IEEE Trans. Pattern Analysis and Machine Intelligence,2001, 23(11) :1209-1221.
  • 9ZhangKe, Lu Jiangbo, Gauthier Lafruit, et al. Robust Stereo Matching with Fast Normalized Cross-Correlation over Shape-adaptive Regions[C]. In IEEE International Conference on Image Processing, 2009 : 2357-2361.
  • 10Shi Limin, Guo Fusheng, Gao Wei, et al. Stereo Matching with Adaptive Support-Weight correlation and Graph Cuts[C]. Systems Man and Cybernetics, 2010 IEEE International Conference, 2010: 3575- 3579.

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