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A new stereomatching algorithm based on linear features and the fuzzy integral

机译:基于线性特征和模糊积分的立体匹配算法

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This paper presents a new algorithm to the local stereomatching problem using the fuzzy integral and primarily aimed at static scene (industrial image) analysis. Our purpose is to build the planar surfaces of 3D polyhedric objects using a stereoscopic vision system with a good accuracy. Only linear features and their geometric attributes are con- sidered in a method using a direct matching of image features (and using the fuzzy integral-like aggregation operator). The experimental results show that the proposed method is effective and suitable for matching line segments and is compared with some other methods.
机译:本文提出了一种基于模糊积分的局部立体匹配问题的新算法,主要针对静态场景(工业图像)分析。我们的目的是使用具有良好准确性的立体视觉系统构建3D多面体对象的平面。在使用图像特征直接匹配的方法(以及使用像模糊积分的聚合算子)中,仅考虑线性特征及其几何属性。实验结果表明,该方法是有效的,适用于匹配线段,并与其他方法进行了比较。

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