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Authors: Nader H. Aldeeb and Olaf Hellwich

Affiliation: Technische Universität Berlin, Germany

Keyword(s): Point Cloud, Hole Detection, Hole Classification, Hole Filling, Surface Reconstruction, Textureless Surfaces, Segmentation with Graph Cuts.

Related Ontology Subjects/Areas/Topics: Applications ; Color and Texture Analyses ; Computer Vision, Visualization and Computer Graphics ; Features Extraction ; Geometry and Modeling ; Image and Video Analysis ; Image-Based Modeling ; Motion, Tracking and Stereo Vision ; Pattern Recognition ; Software Engineering ; Stereo Vision and Structure from Motion

Abstract: Structure from Motion (SfM) is the most popular technique behind 3D image reconstruction. It is mainly based on matching features between multiple views of the target object. Therefore, it gives good results only if the target object has enough texture on its surface. If not, virtual holes are caused in the estimated models. But, not all holes that appear in the estimated model are virtual, i.e. correspond to a failure of the reconstruction. There could be a real physical hole in the structure of the target object being reconstructed. This presents ambiguity when applying a hole-filling algorithm. That is, which hole should be filled and which must be left as it is. In this paper, we first propose a simple approach for the detection of holes in point sets. Then we investigate two different measures for automatic classification of these detected holes in point sets. According to our knowledge, hole-classification has not been addressed beforehand. Experiments showed that all holes in 3D models are accurately identified and classified. (More)

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Paper citation in several formats:
Aldeeb, N. and Hellwich, O. (2017). Detection and Classification of Holes in Point Clouds. In Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 6: VISAPP; ISBN 978-989-758-227-1; ISSN 2184-4321, SciTePress, pages 321-330. DOI: 10.5220/0006296503210330

@conference{visapp17,
author={Nader H. Aldeeb. and Olaf Hellwich.},
title={Detection and Classification of Holes in Point Clouds},
booktitle={Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 6: VISAPP},
year={2017},
pages={321-330},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006296503210330},
isbn={978-989-758-227-1},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 6: VISAPP
TI - Detection and Classification of Holes in Point Clouds
SN - 978-989-758-227-1
IS - 2184-4321
AU - Aldeeb, N.
AU - Hellwich, O.
PY - 2017
SP - 321
EP - 330
DO - 10.5220/0006296503210330
PB - SciTePress