Incremental Online Reconstruction of Locally Quadric Surfaces

Josua Bloeß; Dominik Henrich

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Paper

Incremental Online Reconstruction of Locally Quadric Surfaces

Topics: 3D Model Repair and scene reconstruction; CAGD/CAD/CAM Systems; Geometric Computing; Surface Modeling

In Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: VISIGRAPP, 155-162, 2022

Authors: Josua Bloeß and Dominik Henrich

Affiliation: University of Bayreuth, Chair for Applied Computer Science III, (Robotics and Embedded Systems), Universitaetsstrasse 30, 95447 Bayreuth, Germany

Keyword(s): Reconstruction, Segmentation, Point Cloud, Surface Fitting, Quadrics, Online Computation.

Abstract: Representing surfaces of a digital 3D model using high level geometric information is key to lots of geometric processing and other use cases. In order to obtain these 3D models, various scanning methods have been proposed. We contribute a method for incremental reconstruction of surfaces from a series of point clouds. For this, we use a robust over-segmentation technique on a point cloud and build a memory efficient graph structure upon it. Over time, we expand this graph structure as global representation. We also propose a fast fitting algorithm for quadric surface patches to the graph structure. We validate the overall performance in our experiments.

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Paper citation in several formats:

Bloeß, J. and Henrich, D. (2022). Incremental Online Reconstruction of Locally Quadric Surfaces. In Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - GRAPP; ISBN 978-989-758-555-5; ISSN 2184-4321, SciTePress, pages 155-162. DOI: 10.5220/0010795100003124

@conference{grapp22,
author={Josua Bloeß. and Dominik Henrich.},
title={Incremental Online Reconstruction of Locally Quadric Surfaces},
booktitle={Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - GRAPP},
year={2022},
pages={155-162},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010795100003124},
isbn={978-989-758-555-5},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - GRAPP
TI - Incremental Online Reconstruction of Locally Quadric Surfaces
SN - 978-989-758-555-5
IS - 2184-4321
AU - Bloeß, J.
AU - Henrich, D.
PY - 2022
SP - 155
EP - 162
DO - 10.5220/0010795100003124
PB - SciTePress