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Publication Citation: A New Shape Benchmark for 3D Object Retrieval

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Author(s): Rui Fang; Afzal A. Godil; Xiaolan Li; Asim Wagan;
Title: A New Shape Benchmark for 3D Object Retrieval
Published: December 03, 2008
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.
Conference: 4th International Symposium on Visual Computing
Proceedings: Proceedings of 4th International Symposium on Visual Computing
Volume: 5358
Pages: pp. 381 - 392
Location: Las Vegas, NV
Dates: December 1-3, 2008
Research Areas: Data and Informatics
PDF version: PDF Document Click here to retrieve PDF version of paper (2MB)