系统仿真学报 ›› 2016, Vol. 28 ›› Issue (10): 2546-2553.

• 仿真建模理论与方法 • 上一篇    下一篇

一种基于网格模型简化的热核特征提取算法

李海生1,2, 孙莉1,2, 蔡强1,2, 曹健1,2   

  1. 1.北京工商大学计算机与信息工程学院,北京 100048;
    2.食品安全大数据技术北京市重点实验室,北京 100048
  • 收稿日期:2016-05-30 修回日期:2016-07-14 出版日期:2016-10-08 发布日期:2020-08-13
  • 作者简介:李海生(1974-),男,山东,博士,教授,研究方向为计算机图形学、科学可视化;孙莉(1992-),女,山东,硕士生,研究方向为计算机图形学。
  • 基金资助:
    北京市自然科学基金(4162019),北京市教委科研计划(QKM201610011010)

Heat Kernel Signature Extraction Algorithm Based on Mesh Simplification

Li Haisheng1,2, Sun Li1,2, Cai Qiang1,2, Cao Jian1,2   

  1. 1. School of Computer and Information Engineering, Beijing Technology and Business University, Beijing 100048, China;
    2. Beijing Key Laboratory of Big Data Technology for Food Safety, Beijing 100048, China
  • Received:2016-05-30 Revised:2016-07-14 Online:2016-10-08 Published:2020-08-13

摘要: 热核特征提取算法是近几年出现的一种三维模型特征提取算法。针对热核特征计算效率低,对顶点数目过多的三维模型处理时间过久甚至是无法处理的问题,采用基于二次误差测度网格模型简化算法对三维模型进行预处理,并对简化后的模型提取其热核特征。实验表明经过简化后的模型处理效率高,比直接对原始模型提取热核特征耗时减少,原始模型顶点数越多效率提升越明显。简化后模型的热核特征与原始模型结果基本一致,满足模型匹配的要求。

关键词: 非刚性三维模型, 网格模型简化, 热核特征, 特征提取

Abstract: Heat kernel signature has been proposed for 3D model feature extraction in recent years. However, the performance of heat kernel signature is inefficient, especially when the models have large number of vertices. Mesh simplification algorithm based on quadric error metrics was used to preprocess 3D model and the heat kernel signature was calculated based on the simplified model. Experiments show that the feature extracting time of the simplified model is less than the original model. The more vertices of the original model, the more obvious of the improved efficiency. The heat kernel signature of simplified model is consistent with the original model, which can satisfy the requirement of 3D model retrieval.

Key words: non-rigid 3D model, mesh simplification, heat kernel signature, feature extraction

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