提高双目视觉立体匹配精度的一种方法
A method of improving binocular vision stereo matching accuracy
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摘要: 针对基于相位的立体匹配算法无法得到相位真实值而导致匹配精度不高的问题,提出了一种将格雷码与相位移结合的匹配方法.该方法采用Otsu法寻找最佳分割阈值,实现了格雷码边界的精确分割,并采用高斯滤波对正弦光栅图像进行滤波.实验结果表明,该方法可以计算出较高精度的绝对相位值,提高匹配精度,获得较好的测量结果.Abstract: To resolve the problem of low stereo matching accuracy of current phase stereo matching algorithm,a matching method based on the combination of Gray code and phase-shift was put forward.The method used Ostu algorithm to gain the optimal segmentation threshold,and the accuracy segmentation of the Gray code image was carried out.The Gaussian filter was presented to filter the sine grating image,and the high precision phase could be obtained by combining with the Gray code.The object measuring experiment results indicated that this method can improve the matching accuracy and obtain the better measuring result.
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