Critical assessment of Shape Retrieval Tools (SRTs)
Critical assessment of Shape Retrieval Tools (SRTs)
复制标题
形状检索工具 (SRT) 的严格评估
DOI：
10.1007/s00170-021-07681-4
复制
发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Cecil, J.
中科院分区：
文献类型：
--
作者：
Xiao, Xinyi;Joshi, Sanjay;Cecil, J.
在当今的设计制造环境中，设计师经常修改现有的 3D 形状（或设计模型），而不是从头开始创建新设计。这需要能够搜索现有的设计/3D 模型数据库来识别和提取相似的设计。形状检索工具 (SRT) 的开发在节省检索和生成新设计的时间和精力方面发挥着重要作用。商用 SRT 的功能因输入设计模型的形式、所使用的搜索技术或算法、搜索/检索时间、易用性和结果质量而异。本文的重点是研究它们的功能、性能和差异，并制定标准来比较此类形状检索工具的有效性和性能。当前的搜索评估方法，例如精确度和召回率，都是基于人类对结果的解释。本文提出了一组用于比较 SRT 性能和有效性的整体指标，包括数据输入选项（用于搜索）、搜索过程的有效性、相关检索时间、总体易用性以及其他数据检索详细信息。提出了一种基于模型匹配比（MMR）客观分析搜索结果的算法，该模型匹配比是通过输入和检索的几何图形之间的方差计算得出的。搜索结果通常以排名顺序列表的形式呈现。开发了精确序列度量（PSM），通过基于 MMR 对检索结果进行排名来评估检索列表，从而评估搜索质量。所提出的评估算法在涉及三个 SRT（Vizseek、Geolus 和 CADENAS）的多个设计模型（及其后续检索结果）上进行了测试；本文讨论了这些 SRT 的性能比较结果。
In today’s design — manufacturing context, designers often modify existing 3D shapes (or design models) instead of creating a new design from scratch. This requires the ability to search an existing database of designs/3D models to identify and extract similar designs. Shape Retrieval Tools (SRTs) have been developed to provide an essential role in saving time and effort to retrieve and generate new designs. The capabilities of commercially available SRTs vary based on the form of the input design model, the search technique or algorithm used, the search/retrieval time, ease of use, and the quality of results. The focus of this paper is to study of their capabilities, performances, and differences and develop criteria to compare the effectiveness and performance of such Shape Retrieval Tools. Current search evaluation methods, such as precision and recall, are based on human interpretation of the results. This paper presents a holistic set of metrics for comparing the performance and effectiveness of SRTs, including data input options (to search), effectiveness of the search process, the associated retrieval time, overall ease of use, and additional data retrieval details. An algorithm is proposed to objectively analyze the search results based on the proposed Model Match Ratio (MMR), computed by the variance between the input and retrieved geometries. The search results are usually presented in a rank order list. A Precision Sequence Metric (PSM) is developed to evaluate the retrieved list by ranking the retrieved results based on the MMR for evaluating the quality of the search. The proposed evaluation algorithm was tested on several design models (and their subsequent retrieval results) involving three SRTs (Vizseek, Geolus, and CADENAS); the results of the comparison of the performance of these SRTs are discussed in this paper.
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DOI：
10.1109/34.730554
发表时间：
1998
期刊：
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影响因子：
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DOI：
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DOI：
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发表时间：
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期刊：
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影响因子：
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