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

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Author(s): Zhouhui Lian; Afzal A. Godil;
Title: A comparison of methods for Non-rigid 3D shape retrieval
Published: September 26, 2012
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
Research Areas: Data Mining, Modeling, Information Processing Systems, Supply Chain, Information Technology, Imaging
PDF version: PDF Document Click here to retrieve PDF version of paper (3MB)