A New Shape Signature for 3D Model Similarity Assessment

Author(s):  
Jiale Wang ◽  
Hongming Cai ◽  
Yuanjun He

2012 ◽  
Vol 215-216 ◽  
pp. 270-274 ◽  
Author(s):  
Song Qiao Tao ◽  
Wei He

3D CAD model retrieval has received a lot of attentions in the academic community. Most existent methods for 3D model similarity assessment focus on component models instead of assembly models. In this paper, an assembly model similarity assessment method is presented in order to find the similar assemblies model for design reuse. First, assembly model is described as component attributed relational graph. Then, the compatibility matrix between two assemblies is calculated, which serves as the measure of their similarity. Finally, the optimal matching under the measures is calculated using Hungarian Method. Experimental results show that this method is able to support the assembly similarity evaluation.



2017 ◽  
Vol 34 (1) ◽  
pp. 174-188 ◽  
Author(s):  
Jihua Wang ◽  
Huayu Wang

Purpose This study aims to compute 3D model similarity by extracting and comparing shape features from the neutral files. Design/methodology/approach In this work, the clear text encoding document STEP (Standard for The Exchange of Product model data) of 3D models was analysed, and the models were characterized by two-depth trees consisting of both surface and shell nodes. All surfaces in the STEP files can be subdivided into three kinds, namely, free, analytical and loop surfaces. Surface similarity is defined by the variation coefficients of distances between data points on two surfaces, and subsequently, the shell similarity and 3D model similarity are determined using an optimal algorithm for bipartite graph matching. Findings This approach is used to experimentally verify the effectiveness of the 3D model similarity algorithm. Originality/value The novelty of this study research lies in the computation of 3D model similarity by comparison of all surfaces. In addition, the study makes several key observations: surfaces reflect the most information concerning the functions and attributes of a 3D model and so the similarity between surfaces generates more comprehensive content (both external and internal); semantic-based 3D retrieval can be obtained under the premise of comparison of surface semantics; and more accurate similarity of 3D models can be obtained using the optimal algorithm of bipartite graph matching for all surfaces.



Author(s):  
Rahul S. Renu ◽  
Christopher Sousa

The objective of this research is to investigate the performance of a solid model similarity assessment method. This method is used to assess the similarity of tessellated solid models, where the tessellated geometry is in the form of triangles — specifically, the method compares STL files. A histogram of (triangle) tessellation areas is generated for each solid model being compared. The difference in the histograms of two solid models indicates their dissimilarity. The performance of the solid model similarity assessment method is evaluated by varying tessellation resolutions, and by varying histogram bin sizes. The solid model similarity assessment method is also compared to methods from literature. The comprehensive testing was performed using 867 solid models from the Engineering Shape Benchmark. It is found that the method was robust in its sensitivity to histogram bin sizes, and robust in its sensitivity to tessellation resolution. It is found that for small retrieval sizes, precision is relatively high. It is also found that this method outperformed methods from literature when comparing models that are rectangular, flat, thin, and/or cubic. Additionally, shortcomings of this method and related future work is identified.





Author(s):  
Wei Gao ◽  
Shuming Gao ◽  
Yusheng Liu

Similarity assessment and retrieval of 3D CAD models play a key role in achieving reuse of huge amount of 3D CAD models. In this paper, a new approach to similarity assessment and retrieval of 3D CAD models based on dilation based skeleton (DBS) is presented. First the DBS of a 3D CAD model is introduced; Then the detailed algorithms of generating and refining the DBS of a 3D CAD model are described; Furthermore the method of performing similarity assessment and retrieval of 3D CAD models based on the matching of the DBS graphs derived from the DBS representations and containing both primary topological and geometric information of the models is presented; Finally some preliminary test results are given.





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