人工智能应用
Paper
Research on evaluation of model similarity based on face match
Release Time:2019-03-11
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Indexed by:
Journal Article
First Author:
Gao X.-Y.
Co-author:
Zhang C.-X.,Lu Z.-M.
Date of Publication:
2015-01-01
Journal:
International Journal of Control and Automation
Included Journals:
Scopus、EI
Document Type:
J
Volume:
8
Issue:
2
Page Number:
55-60
ISSN:
20054297
Abstract:
Model similarity measurement is an important problem in retrieval of CAD models. In order to compute the similarity degree between two models correctly, a method of model similarity evaluation based on face match is proposed in this paper. Here, face adjacent graph is adopted to describe topological structures in model and construct the face matching matrix between two models. At the same time, greedy algorithm is applied to compute the similarity between these two models. In experiments, the proposed method is used to measure the similarity degree between target model and source model. Experimental results show that the method can evaluate the difference of models efficiently. ? 2015 SERSC.