| 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: |
 Click here to retrieve PDF version of paper (2MB) |
