A novel 3d cad model retrieval method based on vertices classification and weights combination optimization

13Citations
Citations of this article
6Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

3D shape retrieval is a problem of current interest in different fields, especially in the mechanical engineering domain. According to our knowledge, multifeature based techniques achieve the best performance at present. However, the practicability of those methods is badly limited due to the high computational cost. To improve the retrieval efficiency of 3D CAD model, we propose a novel 3D CAD model retrieval algorithm called VSC-WCO which consists of a new 3D shape descriptor named VSC and Weights Combination Optimization scheme WCO. VSC represents a 3D model with three distance distribution histograms based on vertices classification. The weighted sum of L 1 norm distances between corresponding distance histograms of two VSC descriptors is regarded as dissimilarity of two models. For higher retrieval accuracy on a classified 3D model database, WCO is proposed based on Particle Swarm Optimization and existing class information. Experimental results on ESB, PSB, and NTU databases show that the discriminative power of VSC is already comparable to or better than several typical shape descriptors. After WCO is employed, the performance of VSC-WCO is similar to the leading methods by all performance metrics and is much better by computational efficiency.

Cite

CITATION STYLE

APA

Zhuang, T., Zhang, X., Hou, Z., Zuo, W., & Liu, Y. (2017). A novel 3d cad model retrieval method based on vertices classification and weights combination optimization. Mathematical Problems in Engineering, 2017. https://doi.org/10.1155/2017/6049750

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free