An Efficient Method for Surface Registration

Tomislav Pribanic, Yago Diez, Sergio Fernandez, Joaquim Salvi

2013

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.

Paper Citation

in Harvard Style

Pribanic T., Diez Y., Fernandez S. and Salvi J. (2013). An Efficient Method for Surface Registration . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2013) ISBN 978-989-8565-47-1, pages 500-503. DOI: 10.5220/0004346505000503

in Bibtex Style

@conference{visapp13,
author={Tomislav Pribanic and Yago Diez and Sergio Fernandez and Joaquim Salvi},
title={An Efficient Method for Surface Registration},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2013)},
year={2013},
pages={500-503},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004346505000503},
isbn={978-989-8565-47-1},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2013)
TI - An Efficient Method for Surface Registration
SN - 978-989-8565-47-1
AU - Pribanic T.
AU - Diez Y.
AU - Fernandez S.
AU - Salvi J.
PY - 2013
SP - 500
EP - 503
DO - 10.5220/0004346505000503