An efficient method for surface registration

Tomislav Pribanic, Yago Diez, Sergio Fernandez, Joaquim Salvi

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

3 Citations (Scopus)

Abstract

3D object data acquired from different viewpoints are usually expressed in different spatial coordinate systems where systems' spatial relations are defined by Euclidean transformation parameters: three rotation angles and a translation vector. The computation of those Euclidean parameters is a task of surface registration. In a nutshell all registration methods revolve around two goals: first how to extract the most reliable features for correspondence search between views in order to come up with the set of candidate solutions, secondly how to quickly pinpoint the best, i.e. satisfying, solution. Occasionally some registration method expects also other data, e.g. normal vectors, to be provided besides 3D position data. However, no method assumed the possibility that part of Euclidean parameters could be reliably known in advance. Acknowledging technology advancements we argue that it become relatively convenient to include in 3D reconstruction system some inertial sensor which readily provides info about data orientation. Assuming that such data is provided, we demonstrate a simple, but yet time efficient and accurate registration method.

Original languageEnglish
Title of host publicationVISAPP 2013 - Proceedings of the International Conference on Computer Vision Theory and Applications
Pages500-503
Number of pages4
Publication statusPublished - 2013 May 31
Event8th International Conference on Computer Vision Theory and Applications, VISAPP 2013 - Barcelona, Spain
Duration: 2013 Feb 212013 Feb 24

Publication series

NameVISAPP 2013 - Proceedings of the International Conference on Computer Vision Theory and Applications
Volume1

Other

Other8th International Conference on Computer Vision Theory and Applications, VISAPP 2013
CountrySpain
CityBarcelona
Period13/2/2113/2/24

Keywords

  • 3D reconstruction
  • Inertial sensor
  • Structured light
  • Surface registration

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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