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一种改进的快速立体匹配方法 被引量:1

A Improved fast Stereo Matching Method
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摘要 首先介绍了立体匹配的一般步骤,再考虑到立体匹配的实时性,从众多立体匹配算法中选择了基于区域的WTA相关匹配算法。同时,为了保证匹配的正确性,降低误匹配率,本文在立体匹配中采用了亚像素插值和边缘检测等多项改进措施。实验结果表明,本文的立体匹配算法既具有良好的实时性也具有较高的精度,完全能满足移动机器人双目立体视觉等应用要求。 This paper first introduces the general steps of stereo matching,then considers the real-time of stereo matching,and chooses the WTA stereo matching algorithms based on region from many stereo matching algorithms.This paper adopts some improving measures such as subpixel interpolation and edge detection to ensure the conrectness of matching and decrease the percentage of bad matching meanwhile.The experiments prove that this paper’s stereo matching algorithms have good real-time performance and better precision,and can meet the requirements such as binocular stereo vision applications of mobile robot.
作者 李洪海
机构地区 淮阴工学院
出处 《自动化与仪器仪表》 2010年第4期156-158,共3页 Automation & Instrumentation
关键词 立体匹配 WTA 移动机器人 亚像素插值 边缘检测 Stereo matching WTA Subpixel interpolation Edge detection
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参考文献11

  • 1Y. Ruichek, H. Issa, J.G. Postaire et al. Towards real-time obstacle detection using a hierarchical decomposition methodology for stereo matching with a genetic algorithm. 16th IEEE International Conference, 2004:138-147.
  • 2高文.计算机视觉-算法与系统原理[M].北京:清华大学出版社,1998..
  • 3D. Scharstein, R. Szeliski. A taxonomy and evaluation of dense two-frame stereo correspondence algorithms. International Journal of Computer Vision, 2002,47(1-3): 7-42.
  • 4尹传历,刘冬梅,宋建中.改进的基于图像分割的立体匹配算法[J].计算机辅助设计与图形学学报,2008,20(6):808-812. 被引量:20
  • 5Q. Tian, M.N. Huhns. Algorithms for subpixel registration. CVGIP, 1986,35:220-233.
  • 6陈康,苏晓龙,王香婷.基于区域增长的立体匹配算法研究[J].微计算机信息,2009,25(6):309-311. 被引量:6
  • 7H. Hirschmuller. Improvements in real-time correlation- based stereo vision. Proceedings IEEE Workshop On Stereo and Multi-Baseline Vision,Los Alamitos:IEEE Comput. Soc. Press, 2001,141-148.
  • 8S. T. Barnard. Stochastic stereo matching over scale. IJCV, 1989, 3(1) : 17-32.
  • 9徐青,王敬东,李鹏,李洪海.基于图像分割的快速立体匹配算法[J].计算机工程,2006,32(22):209-211. 被引量:6
  • 10D. Murray, J.J. Little. Using real-time stereo vision for mobile navigation. Autonomous Robots, 2000,8(2):161-171.

二级参考文献24

  • 1唐丽,吴成柯,刘侍刚,颜尧平.基于区域增长的立体像对稠密匹配算法[J].计算机学报,2004,27(7):936-943. 被引量:27
  • 2刘正东,杨静宇.自适应窗口的时间规整立体匹配算法[J].计算机辅助设计与图形学学报,2005,17(2):291-294. 被引量:12
  • 3夏永泉,刘正东,杨静宇.不变矩方法在区域匹配中的应用[J].计算机辅助设计与图形学学报,2005,17(10):2152-2156. 被引量:21
  • 4Linda G. Shapiro, George C. Stockman. Computer Vision. Beijing: Mechanic Industry Publishing Company, 2005.
  • 5胡晓鹏.双目立体图像的快速匹配值计算方法[J].微计算机信息,2007(05X):293-294. 被引量:3
  • 6Ali M, Shah J R, Ahmed M. 3D Reconstruction and Model Acquisition of Objects in Rcal World Scenes Using Stereo Imagery[C],Proceedings of the 7^th International Multi Topic Confercnce,Islamabad. Pakistan. 2003: 32-37.
  • 7Nguyen H T. Mirth N. Do Image-based Rendering with Depth Information Using the Propagation Algorithm[C]. Proceedings of Acoustics, Speech, and Signal Processing, Philadelphia, USA, 2005:589-592.
  • 8Scharstein D, Szeliski R. A Taxonomy and Evaluation of Dense Two-frame Stereo Correspondence Atgorithms[J]. International Journal of Computer Vision, 2002.47( 1 ): 7-42.
  • 9Kolmogorov V Zabih R. Computing Visual Correspondence with Occlusions Using Graph Cuts[C]. Proceedings of the 8^th International Conference on Computer Vision, Vancouvcr, Canada, 2001:508-515.
  • 10Tao H, Sawhney H S, Ktmar R. A Global Matching Framework for Stereo Computation[C]. Proceedings of the 8^th International Conference on Computer Vision, Vancouven Canada, 2001: 532- 539.

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