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一种测量高光物体的双目Helmholtz立体视觉方法
引用本文:陈正华,章毓晋.一种测量高光物体的双目Helmholtz立体视觉方法[J].中国图象图形学报,2010,15(3):429-434.
作者姓名:陈正华  章毓晋
作者单位:(清华大学电子工程系,北京 100084)
基金项目:基金项目:国家自然科学基金项目(60872084)
摘    要:提出了一种基于迭代动态规划的双目Helmholtz立体视觉算法,并将其应用于高光物体的测量。算法首先对获取的Helmholtz图像对作图像校正,然后确定扫描线的端点,最后设计了一种迭代动态规划方法建立匹配获取视差图,从而恢复出高光物体的表面深度。实验采用光线跟踪方法获取带有高光的双目Helmholtz图像,视差图结果表明该方法能够有效地恢复出高光物体的深度信息。

关 键 词:Helmholtz  立体匹配  高光  动态规划
收稿时间:2008/11/6 0:00:00
修稿时间:2/6/2009 12:00:00 AM

A Binocular Helmholtz Stereo Method for Measuring Objects with Highlights
CHEN Zhenghua and ZHANG Yujin.A Binocular Helmholtz Stereo Method for Measuring Objects with Highlights[J].Journal of Image and Graphics,2010,15(3):429-434.
Authors:CHEN Zhenghua and ZHANG Yujin
Affiliation:(Department of Electronic Engineering, Tsinghua University, Beijing 100084)
Abstract:A binocular Helmholtz stereo algorithm based on iterative dynamic programming method is proposed here and applied for measuring objects with highlights. In this algorithm, we first rectify the Helmholtz reciprocal image pairs. Then the end points of matching segments are detected. Lastly an iterative dynamic programming matching method is proposed to search for the matching points and reconstruct the depth of surface. Ray-tracing binocular Helmholtz images with highlights are used in our experiment and the disparity results show its good performance for reconstructing objects with highlights.
Keywords:Helmholtz  stereo matching  highlight  dynamic programming
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