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Authors: Markus Friedrich 1 and Pierre-Alain Fayolle 2

Affiliations: 1 Institute for Computer Science, LMU Munich, Oettingenstraße 67, Munich, Germany ; 2 The University of Aizu, Ikki machi, Aizu-Wakamatsu, Japan

Keyword(s): 3D Reconstruction, Geometry Processing, Spatial Clustering, Evolutionary Algorithms.

Abstract: Reconstructing a composition (union) of convex polytopes that perfectly fits the corresponding input point-cloud is a hard optimization problem with interesting applications in reverse engineering and rigid body dynamics simulations. We propose a pipeline that first extracts a set of planes, then partitions the input point-cloud into weakly convex clusters and finally generates a set of convex polytopes as the intersection of fitted planes for each partition. Finding the best-fitting convex polytopes is formulated as a combinatorial optimization problem over the set of fitted planes and is solved using an Evolutionary Algorithm. For convex clustering, we employ two different methods and detail their strengths and weaknesses in a thorough evaluation based on multiple input data-sets.

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Paper citation in several formats:
Friedrich, M. and Fayolle, P. (2021). Reconstruction of Convex Polytope Compositions from 3D Point-clouds. In Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - GRAPP; ISBN 978-989-758-488-6; ISSN 2184-4321, SciTePress, pages 75-84. DOI: 10.5220/0010297100750084

@conference{grapp21,
author={Markus Friedrich. and Pierre{-}Alain Fayolle.},
title={Reconstruction of Convex Polytope Compositions from 3D Point-clouds},
booktitle={Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - GRAPP},
year={2021},
pages={75-84},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010297100750084},
isbn={978-989-758-488-6},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - GRAPP
TI - Reconstruction of Convex Polytope Compositions from 3D Point-clouds
SN - 978-989-758-488-6
IS - 2184-4321
AU - Friedrich, M.
AU - Fayolle, P.
PY - 2021
SP - 75
EP - 84
DO - 10.5220/0010297100750084
PB - SciTePress

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