The purpose of this paper is to propose a three-dimensional (3D) assembly model retrieval method based on assembling semantic information to address semantic mismatches, poor accuracy and low efficiency in existing 3D assembly model retrieval methods.
The paper proposes an assembly model retrieval method. First, assembly information retrieval is performed, and 3D models that conform to the design intention of the assembly are found by retrieving the code. On this basis, because there are conjugate subgraphs between attributed adjacency graphs (AAG) that have an assembly relationship, the assembly model geometric retrieval is translated into a problem of finding AAGs with a conjugate subgraph. Finally, the frequent subgraph mining method is used to retrieve AAGs with conjugate subgraphs.
The method improved the efficiency and accuracy of assembly model retrieval.
The examples illustrate the specific retrieval process and verify the feasibility and reasonability of the assembly model retrieval method in practical applications.
The assembly model retrieval method in the paper is an original method. Compared with other methods, good results were obtained.
This project is supported by National Natural Science Foundation of China (Grant No. 51705392) and Xi’an Technological University President Foundation (Grant No. XAGDXJJ16004).
Qiao, H., Wu, Q., Yu, S., Du, J. and Xiang, Y. (2019), "A 3D assembly model retrieval method based on assembly information", Assembly Automation, Vol. 39 No. 4, pp. 556-565. https://doi.org/10.1108/AA-03-2018-047Download as .RIS
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