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A comparison of methods for Non-rigid 3D shape retrieval

Published

Author(s)

Zhouhui Lian, Afzal A. Godil

Abstract

Non-rigid 3D shape retrieval has become an active and important research topic in content-based 3D object retrieval. The aim of this paper is to measure and compare the performance of state-of-the-art methods for non-rigid 3D shape retrieval. The paper develops a new benchmark consisting of 600 non-rigid 3D watertight meshes, which are equally classified into 30 categories, to carry out experiments for 11 different algorithms, whose retrieval accuracies are evaluated using 6 commonly-utilized measures. Models and evaluation tools of the new benchmark are publicly available on our web site [1].
Citation
Pattern Recognition

Keywords

3D Shape Retrieval, Non-rigid, Benchmark

Citation

Lian, Z. and Godil, A. (2012), A comparison of methods for Non-rigid 3D shape retrieval, Pattern Recognition, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=911880 (Accessed April 23, 2024)
Created September 25, 2012, Updated October 12, 2021