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Review of Shape-based Similarity Algorithms and Design Retrieval Methods for Computer-aided Design and Manufacturing

机译:基于形状的相似性算法综述和计算机辅助设计和制造的设计检索方法

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Reusing engineering data has opened a new opportunity to improve product quality, shorten design lead-time and reduce costs using existing know-how within the design process. Geometrical aspects or 3D shape information of a product is an essential data which can be reused in CAD software. In order to compare and retrieve the existing 3D models, having a precise computational representation of a shape, so-called shape index or shape signature, is a main challenge. The shape signature is often used for the shape similarity comparison. There are several specifications for a shape signature like quick to compute, easy to index, invariant under transformation, independent of 3D representations, tessellation, genus or topology. The algorithms or the methods which decompose a shape into a signature can be classified into seven main classes. This paper aims to focus on the discussion of the first three methods, i.e., Invariant-based methods, Harmonics-based methods, and Graph-based methods, and provide the related literature review on their underlying approaches with highlighting methodologies, advantages and disadvantages.
机译:重用工程数据已开辟了一种新的机会,可以提高产品质量,缩短设计汇总时间并使用设计过程中现有的知识降低成本。产品的几何方面或3D形状信息是可以在CAD软件中重用的基本数据。为了比较和检索现有的3D模型,具有精确的计算表示形状,所谓的形状指数或形状签名,是主要挑战。形状签名通常用于形状相似性比较。形状签名具有几种规格,如Quick才能计算,易于索引,在转换下不变,独立于3D表示,曲面细分,属或拓扑。将形状分解成签名的算法或方法可以分为七个主要类别。本文旨在专注于对前三种方法的讨论,即基于不变的方法,基于谐波的方法和基于图形的方法,并提供了与突出显示方法,优缺点的相关方法的相关文献综述。

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