Model Retrieval Based on Simulated Annealing Algorithm

GAO Xueyao; TAN Tao; ZHANG Chunxiang

doi:10.15938/j.jhust.2020.03.023

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Model Retrieval Based on Simulated Annealing Algorithm

更新时间：2026-08-31

- Model Retrieval Based on Simulated Annealing Algorithm
- Vol. 25, Issue 3, Pages: 151-156(2020)
- 作者机构：
  
  1. 哈尔滨理工大学计算机科学与技术学院,哈尔滨,150080
  2. 哈尔滨理工大学软件与微电子学院,哈尔滨,150080
- 作者简介：
- 基金信息：
- DOI：10.15938/j.jhust.2020.03.023
  CLC： TP3917
- Published：2020
- 稿件说明：
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GAO Xueyao, TAN Tao, ZHANG Chunxiang. Model Retrieval Based on Simulated Annealing Algorithm[J]. 2020, 25(3): 151-156.
DOI：

GAO Xueyao, TAN Tao, ZHANG Chunxiang. Model Retrieval Based on Simulated Annealing Algorithm[J]. 2020, 25(3): 151-156. DOI： 10.15938/j.jhust.2020.03.023.

摘要

摘要:为了从模型库中检索到最相似的CAD(Computer Aided Design)模型，采用模拟退火算法检索相似模型。利用源模型面与目标模型面之间的边数差异，来构造两个模型之间的面相似度矩阵。利用模拟退火算法对面相似度矩阵进行搜索，得到两个模型之间的最优面匹配序列。以最优面匹配序列为基础，来计算源模型与目标模型之间的相似性。实验结果表明：该方法能够准确地度量两个模型之间的差异。

Abstract

In order to retrieve the most similar CAD(Computer Aided Design) model from model library

simulated annealing algorithm is used to retrieve similar models. The difference of edge number between source model face and target model face is used to construct face similarity matrix of two models. Simulated annealing algorithm is used to search face similarity matrix in order to find an optimal matching sequence of faces between two models. Based on this optimal matching sequence of faces

the similarity between source model and target one is calculated. Experimental results show that this method can measure the difference of two models accurately.

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