Benchmarks, Performance Evaluation and Contests for 3D Shape Retrieval

Autor:	Godil, Afzal, Lian, Zhouhui, Dutagaci, Helin, Fang, Rui, P., Vanamali T., Cheung, Chun Pan
Rok vydání:	2011
Předmět:	Computer Science - Computer Vision and Pattern Recognition Computer Science - Computational Geometry I.2.10 I.4.8 I.5.4
Druh dokumentu:	Working Paper
Popis:	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. Comment: Performance Metrics for Intelligent Systems (PerMIS'10) Workshop, September, 2010
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1105.3685 Zobrazit plný text záznamu View this record from Arxiv