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Stereo vision matching

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开发平台: matlab

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代码描述

中文说明: 利用数码相机找一个图像特征丰富的区域自行拍摄图像(先拍摄一张图像作为左图像,然后平移一步再拍摄一张图像作为右图像),通过手动在两幅图像中找8对同名点(8个点最好平均分布在图像平面上),利用8点法求出立体视觉系统的基本矩阵,进而求出8对点对应的极点和极线。在此基础上,分别使用平面校正法(Planar rectification)和极约束校正法(Polar rectification)将一般的立体成像系统校正为简单的立体成像系统。


English Description:

The digital camera is used to find an area with rich image features to take an image by itself (first take an image as the left image, then pan one step, and then take an image as the right image). By manually finding 8 pairs of homonymous points in two images (8 points are best distributed on the image plane), the basic matrix of stereo vision system is obtained by 8-point method, and then 8 pairs of point pairs are obtained The poles and epipolar lines should be defined. On this basis, plane correction and polar correction are used to correct the general stereo imaging system into a simple stereo imaging system.


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