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Fast and robust edge extraction in unorganized point clouds

Author
Bazazian, D.; Casas, J.; Ruiz-Hidalgo, J.
Type of activity
Presentation of work at congresses
Name of edition
2015 International Conference on Digital Image Computing Techniques and Applications
Date of publication
2015
Presentation's date
2015-11-23
Book of congress proceedings
2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA): Adelaide, Australia: 23-25 November 2015
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
DOI
https://doi.org/10.1109/DICTA.2015.7371262 Open in new window
Repository
http://hdl.handle.net/2117/81975 Open in new window
URL
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7371262 Open in new window
Abstract
Edges provide important visual information in scene surfaces. The need for fast and robust feature extraction from 3D data is nowadays fostered by the widespread availability of cheap commercial depth sensors and multi-camera setups. This article investigates the challenge of detecting edges in surfaces represented by unorganized point clouds. Generally, edge recognition requires the extraction of geometric features such as normal vectors and curvatures. Since the normals alone do not provide en...
Citation
Bazazian, D., Casas, J., Ruiz-Hidalgo, J. Fast and robust edge extraction in unorganized point clouds. A: International Conference on Digital Image Computing Techniques and Applications. "2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA): Adelaide, Australia: 23-25 November 2015". Adelaide: Institute of Electrical and Electronics Engineers (IEEE), 2015.
Keywords
Estimation, Feature extraction, Image edge detection, Principal component analysis, Rough surfaces, Surface roughness, Three-dimensional displays
Group of research
GPI - Image and Video Processing Group
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center

Participants