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Incremental circle transform and eigenvalue analysis for object recognition : an integrated approach

机译:用于物体识别的增量圆变换和特征值分析:一种集成方法。

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摘要

In this paper, a new method to recognize two-dimensional objects by combining the concept of incremental circle transform (ICT) and eigenvalue analysis is presented. The algorithm has two stages. In the first stage, the shape of an object is preserved by the use of ICT (Bein et al. Proc. ICARCV, 1990, 851 855), which maps the boundary of an object into a circle with constant radius. In the second stage, the eigenvalues of the variance and covariance matrix of the computed ICT vector are found and are used to represent compactly the set of objects. Apart of realizing memory reduction, the proposed integrated method is shown to be rotation and translation invariant. Experimental results have been highly encouraging in terms of accuracy in the recognition of target objects.
机译:本文提出了一种结合增量圆变换(ICT)和特征值分析的二维物体识别方法。该算法分为两个阶段。在第一阶段,通过使用ICT来保留对象的形状(Bein等人,Proc。ICARCV,1990,851 855),该方法将对象的边界映射为半径恒定的圆。在第二阶段,找到计算出的ICT向量的方差和协方差矩阵的特征值,并将其用于紧凑地表示一组对象。除了实现内存减少以外,所提出的集成方法还显示出旋转和平移不变性。就识别目标物体的准确性而言,实验结果令人鼓舞。

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