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Authors: Martin Prantl ; Libor Váša and Ivana Kolingerová

Affiliation: NTIS - New Technologies for the Information Society, Faculty of Applied Sciences, University of West Bohemia, Technicka 8, Pilsen and Czech Republic

Keyword(s): Registration, Symmetry, Computer Graphics.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Geometric Computing ; Geometry and Modeling ; Model Validation

Abstract: Registration of 3D objects is a challenging task, especially in presence of symmetric parts. A registration algorithm based on feature vectors must be able to distinguish left and right parts. Symmetric geometry can be found in those two parts, however, most popular feature vectors produce equal numbers in this case, even though the geometry is in fact different. One field, where this problem arises, is the registration of partially overlapping parts of human faces or entire heads. The symmetric parts in this case are often eyes, ears, nostrils, mouth corners etc. Using symmetry-oblivious feature vectors makes it hard to distinguish left and right part of the face or head. This paper presents a feature vector modification based on a vector field flux and curvature. Results show that the modified feature vector can improve the subsequent registration process.

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Paper citation in several formats:
Prantl, M.; Váša, L. and Kolingerová, I. (2019). Symmetry-aware Registration of Human Faces. In Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - GRAPP; ISBN 978-989-758-354-4; ISSN 2184-4321, SciTePress, pages 185-192. DOI: 10.5220/0007254801850192

@conference{grapp19,
author={Martin Prantl. and Libor Váša. and Ivana Kolingerová.},
title={Symmetry-aware Registration of Human Faces},
booktitle={Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - GRAPP},
year={2019},
pages={185-192},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007254801850192},
isbn={978-989-758-354-4},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - GRAPP
TI - Symmetry-aware Registration of Human Faces
SN - 978-989-758-354-4
IS - 2184-4321
AU - Prantl, M.
AU - Váša, L.
AU - Kolingerová, I.
PY - 2019
SP - 185
EP - 192
DO - 10.5220/0007254801850192
PB - SciTePress