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3D model retrieval method based on mesh segmentation

机译:基于网格分割的3D模型检索方法

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In the process of feature description and extraction, current 3D model retrieval algorithms focus on the globalfeatures of 3D models but ignore the combination of global and local features of the model. For this reason, they showless effective performance to the models with similar global shape and different local shape. This paper proposes a novelalgorithm for 3D model retrieval based on mesh segmentation. The key idea is to exact the structure feature and the localshape feature of 3D models, and then to compares the similarities of the two characteristics and the total similaritybetween the models. A system that realizes this approach was built and tested on a database of 200 objects and achievesexpected results. The results show that the proposed algorithm improves the precision and the recall rate effectively.© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
机译:在特征描述和提取过程中,当前的3D模型检索算法专注于3D模型的全局特征,但忽略了模型的全局特征和局部特征的组合。因此,它们对于具有相似整体形状和不同局部形状的模型没有任何有效的表现。提出了一种基于网格分割的3D模型检索新算法。关键思想是精确化3D模型的结构特征和局部形状特征,然后比较这两个特征的相似性以及模型之间的总体相似性。在200个对象的数据库上构建并测试了实现此方法的系统,并实现了预期的结果。结果表明该算法有效地提高了精度和查全率。©(2012)COPYRIGHT光电仪器工程师协会(SPIE)。摘要的下载仅允许个人使用。

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