loading
Papers

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Trung-Thien Tran ; Van-Toan Cao ; Van Tung Nguyen ; Sarah Ali and Denis Laurendeau

Affiliation: Laval University, Canada

ISBN: 978-989-758-002-4

Keyword(s): Sharp feature, Feature extraction, Projected distance, Point cloud and mesh processing.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Geometric Computing ; Geometry and Modeling ; Modeling and Algorithms ; Scene and Object Modeling ; Surface Modeling

Abstract: A novel algorithm is proposed for extracting sharp features automatically from scanned 3D data of man-made CAD-like objects. The input of our method consists of a mesh or an unstructured point cloud that is captured on the object surface. First, the vector between a given point and the centroid of its neighborhood at a given scale is projected on the normal vector and called the 'projected distance' at this point. This projected distance is calculated for every data point. In a second stage, Otsu's method is applied to the histogram of the projected distances in order to select the optimal threshold value, which is used to detect potential sharp features at a single scale. These two stages are applied iteratively with the other incremental scales. Finally, points recorded as potential features at every scale are marked as valid sharp features. The method has many advantages over existing methods such as intrinsic simplicity, automatic selection of threshold value, accurate and robust detection of sharp features on various objects. To demonstrate the robustness of the method, it is applied on both synthetic and real 3D data of point clouds and meshes with different noise levels. (More)

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.234.214.179

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Tran, T.; Cao, V.; Nguyen, V.; Ali, S. and Laurendeau, D. (2014). Automatic Method for Sharp Feature Extraction from 3D Data of Man-made Objects.In Proceedings of the 9th International Conference on Computer Graphics Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2014) ISBN 978-989-758-002-4, pages 112-119. DOI: 10.5220/0004674801120119

@conference{grapp14,
author={Trung{-}Thien Tran. and Van{-}Toan Cao. and Van Tung Nguyen. and Sarah Ali. and Denis Laurendeau.},
title={Automatic Method for Sharp Feature Extraction from 3D Data of Man-made Objects},
booktitle={Proceedings of the 9th International Conference on Computer Graphics Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2014)},
year={2014},
pages={112-119},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004674801120119},
isbn={978-989-758-002-4},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Computer Graphics Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2014)
TI - Automatic Method for Sharp Feature Extraction from 3D Data of Man-made Objects
SN - 978-989-758-002-4
AU - Tran, T.
AU - Cao, V.
AU - Nguyen, V.
AU - Ali, S.
AU - Laurendeau, D.
PY - 2014
SP - 112
EP - 119
DO - 10.5220/0004674801120119

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.