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Authors: Paavo Nevalainen ; Ivan Jambor ; Jonne Pohjankukka ; Jukka Heikkonen and Tapio Pahikkala

Affiliation: Univ. of Turku, Finland

Keyword(s): Curvature Spectrum, Parameterless Filtering, Irregular Triangulated Networks, Discrete Geometry.

Related Ontology Subjects/Areas/Topics: Applications ; Feature Selection and Extraction ; Pattern Recognition ; Shape Representation ; Software Engineering ; Theory and Methods

Abstract: Curvature spectrum is a useful feature in surface classification but is difficult to apply to cases with high noise typical e.g. to natural resource point clouds. We propose two methods to estimate the mean and the Gaussian curvature with filtering properties specific to triangulated surfaces. Methods completely filter a highest shape mode away but leave single vertical pikes only partially dampened. Also an elaborate computation of nodal dual areas used by the Laplace-Beltrami mean curvature can be avoided. All computation is based on triangular setting, and a weighted summation procedure using projected tip angles sums up the vertex values. A simplified principal curvature direction definition is given to avoid computation of the full second fundamental form. Qualitative evaluation is based on numerical experiments over two synthetical examples and a prostata tumor example. Results indicate the proposed methods are more robust to presence of noise than other four reference formulat ions. (More)

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Paper citation in several formats:
Nevalainen, P.; Jambor, I.; Pohjankukka, J.; Heikkonen, J. and Pahikkala, T. (2017). Triangular Curvature Approximation of Surfaces - Filtering the Spurious Mode. In Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods - ICPRAM; ISBN 978-989-758-222-6; ISSN 2184-4313, SciTePress, pages 684-692. DOI: 10.5220/0006249206840692

@conference{icpram17,
author={Paavo Nevalainen. and Ivan Jambor. and Jonne Pohjankukka. and Jukka Heikkonen. and Tapio Pahikkala.},
title={Triangular Curvature Approximation of Surfaces - Filtering the Spurious Mode},
booktitle={Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods - ICPRAM},
year={2017},
pages={684-692},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006249206840692},
isbn={978-989-758-222-6},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods - ICPRAM
TI - Triangular Curvature Approximation of Surfaces - Filtering the Spurious Mode
SN - 978-989-758-222-6
IS - 2184-4313
AU - Nevalainen, P.
AU - Jambor, I.
AU - Pohjankukka, J.
AU - Heikkonen, J.
AU - Pahikkala, T.
PY - 2017
SP - 684
EP - 692
DO - 10.5220/0006249206840692
PB - SciTePress

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