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A stereo matching method based on chain code vector

机译:基于链代码向量的立体声匹配方法

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The key to restoring three-dimensional scene information accurately of a binocular stereo vision system was stereo matching. Selection of matching element and matching algorithm directly determined the effect of the stereo matching. In order to achieve accurately three-dimensional matching as far as possible, this paper had put forward a stereo matching algorithm which based on chain code vector. First of all, the algorithm extracted the edge information of image by an improved Laplace edge detection operator which could improve the reliability of edge detection. Secondly, the edge information which had extracted could be described by chain code. Thirdly, the algorithm structured the chain code into a vector and made use of similarity principle of mathematics vector to carry on stereo matching. Experimental results showed that the algorithm was simple and fast, and could gain a high precision of matching. So, the algorithm had a high practical value.
机译:恢复双目立体声视觉系统精确恢复三维场景信息的关键是立体匹配。匹配元素和匹配算法的选择直接确定了立体声匹配的效果。为了尽可能地实现准确三维匹配,本文提出了一种基于链代码向量的立体声匹配算法。首先,该算法通过改进的拉普拉斯边沿检测操作员提取图像的边缘信息,这可以提高边缘检测的可靠性。其次,提取的边缘信息可以由链条代码描述。第三,该算法将链条代码构成到向量中,并利用数学向量的相似性原理进行立体声匹配。实验结果表明,该算法简单快捷,可以获得高精度的匹配。因此,该算法具有很高的实用价值。

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