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2D object recognition based on curvature functions obtained from local histograms of the contour chain code

机译:基于从轮廓链代码的局部直方图获得的曲率函数的2D对象识别

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摘要

In this paper a real time 2D object recognition algorithm is proposed. Contours are represented by their curvature functions, decomposed in the Fourier domain as linear combination of a set of representative objects. Finally, objects are identified by multilevel clustering.
机译:本文提出了一种实时二维物体识别算法。等高线由其曲率函数表示,它们在傅立叶域中分解为一组代表性对象的线性组合。最后,通过多层聚类来识别对象。

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