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A New Shape Benchmark for 3D Object Retrieval

Published

Author(s)

Rui Fang, Afzal A. Godil, Xiaolan Li, Asim Wagan

Abstract

Recently, content based 3D shape retrieval has drawn more and more attention by researchers. How to properly evaluate the result of shape searching algorithms is important. Benchmarking is one answer to this question. Due to the limitations of current shape benchmarks, in this paper, we propose a new publicly available 3D shape benchmark to advance the state of art in 3D shape retrieval. A thorough description of the new shape benchmark is also given. First, the 3D models are classified mainly according to the shape similarity; second, the geometric structure of each model is modified and normalized, and each class in the benchmark shares the equal number of models to reduce the possible bias of evaluation results; finally,several representative algorithms are evaluated on the benchmark,and an experiment is also conducted to show the reliability of the new benchmark.
Proceedings Title
Proceedings of 4th International Symposium on Visual Computing
Volume
5358
Conference Dates
December 1-3, 2008
Conference Location
Las Vegas, NV
Conference Title
4th International Symposium on Visual Computing

Citation

Fang, R. , Godil, A. , Li, X. and Wagan, A. (2008), A New Shape Benchmark for 3D Object Retrieval, Proceedings of 4th International Symposium on Visual Computing, Las Vegas, NV, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=890081 (Accessed June 13, 2024)

Issues

If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.

Created December 3, 2008, Updated February 19, 2017