Shape Similarity based Surface Registration

Manuel Frei, Simon Winkelbach

2014

Abstract

In the last 20 years many approaches for the registration and localization of surfaces were developed. Most of them generate solutions by minimizing point distances or maximizing contact areas between surface points. Other algorithms try to detect corresponding points on the two surfaces by searching for points with same features and align them. However, aligning and localizing self-similar surfaces or surfaces having large regions with approximately constant curvature is still a complex problem. In this paper a new algorithm for registration and matching of surfaces is introduced, which extends an approach maximizing the contact area between the surfaces by surface-based dissimilarity features and thereby solves the problem of registering the problematic surfaces described above. Our evaluation shows the great potential of our approach regarding efficiency, accuracy and robustness for various applications like scan alignment, pottery assembly or bone reduction.

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Paper Citation


in Harvard Style

Frei M. and Winkelbach S. (2014). Shape Similarity based Surface Registration . In Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2014) ISBN 978-989-758-003-1, pages 359-366. DOI: 10.5220/0004733603590366


in Bibtex Style

@conference{visapp14,
author={Manuel Frei and Simon Winkelbach},
title={Shape Similarity based Surface Registration},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2014)},
year={2014},
pages={359-366},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004733603590366},
isbn={978-989-758-003-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2014)
TI - Shape Similarity based Surface Registration
SN - 978-989-758-003-1
AU - Frei M.
AU - Winkelbach S.
PY - 2014
SP - 359
EP - 366
DO - 10.5220/0004733603590366