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首页> 外文会议>2014 IEEE International Conference on Security, Pattern Analysis, and Cybernetics >A shape-based stereo matching algorithm for binocular vision
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A shape-based stereo matching algorithm for binocular vision

机译：基于形状的双目视觉立体匹配算法

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摘要

Binocular stereo vision is an important branch of the research area in computer vision. Stereo matching is the most important process in binocular vision. In this paper, a new stereo matching scheme using shape-based matching (SBM) is presented to improve the depth reconstruction method of binocular stereo vision systems. The method works in two steps. First, an operator registers the pattern including the key features of an object to be measured. Then during the operation stage, the stereo camera snaps stereo images and finds the patterns in right and left images separately by means of the SBM. The 3D positions of the object are calculated by using the corresponding points of the stereo images and the projection matrices of the stereo camera. Since we apply robust image processing algorithms, such as the SBM, the proposed method becomes more reliable than the conventional stereo vision systems.
机译：双目立体视觉是计算机视觉研究领域的重要分支。立体匹配是双目视觉中最重要的过程。为了改进双目立体视觉系统的深度重建方法，本文提出了一种新的基于形状匹配的立体匹配方案。该方法分为两个步骤。首先，操作员注册包括待测物体关键特征的图案。然后在操作阶段，立体摄像机通过SBM拍摄立体图像并分别在左右图像中找到图案。通过使用立体图像的对应点和立体相机的投影矩阵来计算对象的3D位置。由于我们应用了强大的图像处理算法（例如SBM），因此所提出的方法比传统的立体视觉系统更加可靠。

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