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.
@article{arxiv.1105.3685,
title = {Benchmarks, Performance Evaluation and Contests for 3D Shape Retrieval},
author = {Afzal Godil and Zhouhui Lian and Helin Dutagaci and Rui Fang and Vanamali T. P. and Chun Pan Cheung},
journal= {arXiv preprint arXiv:1105.3685},
year = {2011}
}
Comments
Performance Metrics for Intelligent Systems (PerMIS'10) Workshop, September, 2010