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Efficient Retrieval of 3D Models Based on Integer Medial Axis Skeleton

机译:基于整数中间轴骨架的3D模型的有效检索

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In this paper, we describe a novel algorithm for searching and comparing 3D models, called the Integer Medial Axis Skeleton (IMAS), in which the geometric and topological information is encoded in the form of an IMAS and uses skeletal binary tree matching techniques to match the skeletons and to compare them. The skeletal binary tree is constructed based on the IMAS that was constructed using a modification of an IMA transforms algorithm. The similarity calculation between 3D models is processed using a coarse-to-fine strategy. A feature of skeletal binary tree matching is the ability to perform part-matching and provide a fast estimation of similarity between models. The performance of the proposed algorithm is compared to some previous approaches by means of precision/recall tests. Generally, results show that the new algorithm introduces improvements in the 3D-model retrieval process.
机译:在本文中,我们描述了一种用于搜索和比较3D模型的新颖算法,称为Integer Medial Axis Skeleton(IMAS),其中,几何和拓扑信息以IMAS的形式进行编码,并使用骨骼二叉树匹配技术进行匹配并进行比较。骨骼二叉树是基于IMAS构建的,IMAS是使用IMA变换算法的修改构建的。 3D模型之间的相似度计算使用从粗到精的策略进行处理。骨架二叉树匹配的一个特征是能够执行零件匹配并提供模型之间相似性的快速估计。通过精度/召回测试,将所提出算法的性能与某些先前方法进行了比较。通常,结果表明,新算法在3D模型检索过程中引入了改进。

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