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A Novel 3D Model Retrieval Approach based on Model-partitioning and Fuzzy Relevance Feedback

机译:一种基于模型分区和模糊相关反馈的新型3D模型检索方法

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摘要

3D models play an important role in many applications, so there is an urgent need for an effective content based 3D model retrieval system. A variety of 3D model retrieval methods have been proposed in recent years. Shape distributions show superiority over other methods due to ease of computation and invariance to Euclidean motion, but there is poor retrieval performance for the loss in information. This paper introduces two model-partitioning methods to improve shape distributions, in which the two enhanced descriptors are combined with a fuzzy feedback method. Experimental results show that the proposed methods can achieve better retrieval performance.
机译:3D模型在许多应用中发挥着重要作用,因此迫切需要基于有效的基于内容的3D模型检索系统。近年来提出了各种3D模型检索方法。由于易于计算和欧几里德运动的不变性,形状分布显示出其他方法的优越性,但是在信息中丢失,检索性能很差。本文介绍了改进形状分布的两个模型分区方法,其中两个增强的描述符与模糊反馈方法组合。实验结果表明,该方法可以实现更好的检索性能。

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