Benchmarks, Performance Evaluation and Contests for 3D Shape Retrieval

Details Benchmarks, Performance Evaluation and Contests for 3D Shape Retrieval Benchmarks, Performance Evaluation and Contests for 3D Shape Retrieval

2011-05-18

arxiv.org/abs/1105.3685v1

Computer Science

Computer Vision and Pattern Recognition

Performance Metrics for Intelligent Systems (PerMIS'10) Workshop, September, 2010

Scientific paper

Benchmarking of 3D Shape retrieval allows developers and researchers to compare the strengths of different algorithms on a standard dataset. Here we describe the procedures involved in developing a benchmark and issues involved. We then discuss some of the current 3D shape retrieval benchmarks efforts of our group and others. We also review the different performance evaluation measures that are developed and used by researchers in the community. After that we give an overview of the 3D shape retrieval contest (SHREC) tracks run under the EuroGraphics Workshop on 3D Object Retrieval and give details of tracks that we organized for SHREC 2010. Finally we demonstrate some of the results based on the different SHREC contest tracks and the NIST shape benchmark.

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