An experimental benchmark for point set coarse matching

Ferran Roure, Yago Díez, Xavier Llado, Josep Forest, Tomislav Pribanic, Joaquim Salvi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

Coarse Matching of point clouds is a fundamental problem in a variety of computer vision applications. While many algorithms have been developed in recent years to address its different aspects, the lack of unified measures and commonly agreed upon data hampers algorithm performances comparison. Additionally, a large number of contributions are tested only with synthetic or processed data. This is a problem as the resulting scenario is somewhat less challenging and does not always conform to practical application conditions. In this paper, we present a new, publicly available database that aims at overcoming the existing problems, provide researchers with a useful tool to compare new contributions to existing ones and represent a step towards standardization. The database contains both processed and unprocessed data with attention to specially challenging datasets. It also includes information on correct solution, presence of noise, overlap percentages and additional information that will allow researchers to focus only on specific parts of the matching pipeline.

Original languageEnglish
Title of host publicationVISAPP 2015 - 10th International Conference on Computer Vision Theory and Applications; VISIGRAPP, Proceedings
EditorsJose Braz, Sebastiano Battiato, Francisco Imai
PublisherSciTePress
Pages679-685
Number of pages7
ISBN (Electronic)9789897580895
DOIs
Publication statusPublished - 2015
Event10th International Conference on Computer Vision Theory and Applications, VISAPP 2015 - Berlin, Germany
Duration: 2015 Mar 112015 Mar 14

Publication series

NameVISAPP 2015 - 10th International Conference on Computer Vision Theory and Applications; VISIGRAPP, Proceedings
Volume1

Other

Other10th International Conference on Computer Vision Theory and Applications, VISAPP 2015
CountryGermany
CityBerlin
Period15/3/1115/3/14

Keywords

  • 3D registration
  • Algorithm standardization
  • Benchmark
  • Coarse matching
  • Datasets

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition

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