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Sum of Absolute Differences Algorithm in Stereo Correspondence Problem for Stereo Matching in Computer Vision Application

机译:计算机视觉应用中的立体匹配立体匹配问题中的绝对差和算法

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This paper presents a method to solve the correspondence problem in matching the stereo image using Sum of Absolute Differences (SAD) algorithm. The computer vision application in this paper is using an autonomous vehicle which has a stereo pair on top of it The estimation of range is using curve fitting tool (cftool) for each detected object or obstacles. This too! is provided by Matlab software. The disparity mapping is produced by block matching algorithm Sum of Absolute Differences (SAD). The range determined by cftool will be used as a reference for navigation of autonomous vehicle. The process of camera calibration, image rectification and obstacles detection is also discussed in this paper.
机译:本文提出了一种利用绝对差分和(SAD)算法解决立体图像匹配中的对应问题的方法。本文中的计算机视觉应用程序使用的是无人驾驶汽车,其顶部具有立体声对。对范围的估计是针对每个检测到的物体或障碍物使用曲线拟合工具(cftool)。这个也是!由Matlab软件提供。视差映射是通过块匹配算法绝对差总和(SAD)产生的。由cftool确定的范围将用作自动驾驶汽车导航的参考。本文还讨论了摄像机标定,图像校正和障碍物检测的过程。

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