基于轮廓的三维目标识别匹配技术

S. Vasikarla, M. Hanmandlu
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引用次数: 6

摘要

本文提出了一种轮廓匹配技术,用于从距离数据的目标模型列表中识别与观测目标对应的目标模型。有三种类型的边缘数据与对象和模型相关联。这些数据以分层方式使用,每次在匹配期间使用一种类型的边缘数据来修剪模型。该匹配采用四分数理论,更适合于对称物体的识别。通过仿真算例对结果进行了说明。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Contour based matching technique for 3D object recognition
This paper presents a contour matching technique for the identification of an object model corresponding to an observed object from a list of object models from range data. There are three types of edge data associated with the object and the models. These data are utilized in a hierarchical fashion, each time employing one type of edge data for pruning the models during the matching. The matching uses quarternion theory and is more suitable for the recognition of symmetric objects. The results are illustrated through simulated examples.
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