Electric Appliance Parts Classification Using a Measure Combining the Whole Shape and Local Shape Distribution Similarities

Ryo Hanai, Kimitoshi Yamazaki, Hiroaki Yaguchi, K. Okada, M. Inaba
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引用次数: 2

Abstract

Classification of electric appliance parts is one of the interesting and practically valuable applications for 3D object recognition. Based on existing works, in this paper we try classifying electric appliance parts data obtained in an automatable process, which becomes a basis for automated recycling system. The dataset includes deformable objects such as cables as well as various rigid objects, some of which lacking a large part of the surface because of self-occlusions and materials of the parts. To realize high accuracy in classification, after the comparison of several similarity measures, we combine a measure which describes well the whole shape similarity with a measure that expresses the ratio of local surface patterns that appears in each model. The latter measure is suitable to describe the similarity of deformable objects that the whole shapes are heavily dependent on their configurations. We also investigate how the scale of computing local feature affects the classification result.
整体形状与局部形状分布相似度相结合的电器零件分类方法
电器零件的分类是三维物体识别的一个有趣且有实际价值的应用。本文在现有工作的基础上,尝试对自动化过程中获得的电器零件数据进行分类,为自动化回收系统的建立奠定基础。数据集包括可变形的物体,如电缆以及各种刚性物体,其中一些物体由于零件的自遮挡和材料而缺乏很大一部分表面。为了实现较高的分类精度,在比较了几种相似度测度之后,我们将描述整体形状相似度的测度与表示每个模型中局部表面图案的比例的测度相结合。后一种度量方法适用于描述整个形状严重依赖于其结构的可变形物体的相似性。我们还研究了计算局部特征的尺度对分类结果的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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