首页> 外文会议>International Symposium on Brain, Vision, and Artificial Intelligence(BVAI 2005); 20051019-21; Naples(IT) >Rotation and Scale Invariant Shape Description Using the Contour Segment Curvature
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Rotation and Scale Invariant Shape Description Using the Contour Segment Curvature

机译:使用轮廓线段曲率的旋转和比例尺不变形状描述

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摘要

This paper presents a shape description method based on contour segment curvature (CSC). The CSC is defined as the ratio of the line length connecting two endpoints of a contour segment to its curve length. To extract consistent contour segment, the concept of overlapped contour segment is introduced. The rotation and scale invariant CSC can be extracted through the use of the overlapped contour segment. The proposed method describes the shape of objects with feature vectors that represents the distribution of the CSC, and measures the similarity by comparing the feature vector acquired from the corresponding unit-length segment. The experimental results show that the proposed method is not only invariant to rotation and scale but also superior to the NCCH and the TRP method in clustering power. Furthermore, the performance improvement is expected by adding the distance information to the CSC.
机译:本文提出了一种基于轮廓段曲率(CSC)的形状描述方法。 CSC定义为连接轮廓线段两个端点的线长与其曲线长度的比率。为了提取一致的轮廓线段,引入了重叠轮廓线段的概念。旋转和比例尺不变的CSC可以通过使用重叠的轮廓线段来提取。所提出的方法用代表CSC分布的特征向量描述对象的形状,并通过比较从相应的单位长度段获取的特征向量来测量相似度。实验结果表明,该方法不仅在旋转和尺度上不变,而且在聚类能力方面也优于NCCH和TRP方法。此外,通过将距离信息添加到CSC可以期待性能的提高。

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