Show simple item record

dc.contributor.authorBazazian, Dena
dc.contributor.authorCasas Pla, Josep Ramon
dc.contributor.authorRuiz Hidalgo, Javier
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2016-01-25T14:30:31Z
dc.date.issued2015
dc.identifier.citationBazazian, 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.
dc.identifier.isbn978-1-4673-6795-0
dc.identifier.urihttp://hdl.handle.net/2117/81975
dc.description.abstractEdges 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 enough information about the geometry of the cloud, further analysis of extracted normals is needed for edge extraction, such as a clustering method. Edge extraction through these techniques consists of several steps with parameters which depend on the density and the scale of the point cloud. In this paper we propose a fast and precise method to detect sharp edge features by analysing the eigenvalues of the covariance matrix that are defined by each point's k-nearest neighbors. Moreover, we evaluate quantitatively, and qualitatively the proposed methods for sharp edge extraction using several dihedral angles and well known examples of unorganized point clouds. Furthermore, we demonstrate the robustness of our approach in the noisier real-world datasets.
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo
dc.subjectÀrees temàtiques de la UPC::So, imatge i multimèdia::Creació multimèdia::Imatge digital
dc.subject.lcshImage processing -- Digital techniques
dc.subject.lcshDibuix per ordinador
dc.subject.otherEstimation
dc.subject.otherFeature extraction
dc.subject.otherImage edge detection
dc.subject.otherPrincipal component analysis
dc.subject.otherRough surfaces
dc.subject.otherSurface roughness
dc.subject.otherThree-dimensional displays
dc.titleFast and robust edge extraction in unorganized point clouds
dc.typeConference lecture
dc.subject.lemacImatges -- Processament -- Tècniques digitals
dc.subject.lemacComputer drawing
dc.contributor.groupUniversitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo
dc.identifier.doi10.1109/DICTA.2015.7371262
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7371262
dc.rights.accessRestricted access - publisher's policy
drac.iddocument17408397
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
upcommons.citation.authorBazazian, D., Casas, J., Ruiz-Hidalgo, J.
upcommons.citation.contributorInternational Conference on Digital Image Computing Techniques and Applications
upcommons.citation.pubplaceAdelaide
upcommons.citation.publishedtrue
upcommons.citation.publicationName2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA): Adelaide, Australia: 23-25 November 2015


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder