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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.accessioned2017-05-11T07:49:18Z
dc.date.available2017-05-11T07:49:18Z
dc.date.issued2017
dc.identifier.citationBazazian, D., Casas, J., Ruiz-Hidalgo, J. Segmentation-based multi-scale edge extraction to measure the persistence of features in unorganized point clouds. A: International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. "12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications". Porto: 2017, p. 317-325.
dc.identifier.isbn978-989-758-225-7
dc.identifier.urihttp://hdl.handle.net/2117/104304
dc.description.abstractEdge extraction has attracted a lot of attention in computer vision. The accuracy of extracting edges in point clouds can be a significant asset for a variety of engineering scenarios. To address these issues, we propose a segmentation-based multi-scale edge extraction technique. In this approach, different regions of a point cloud are segmented by a global analysis according to the geodesic distance. Afterwards, a multi-scale operator is defined according to local neighborhoods. Thereupon, by applying this operator at multiple scales of the point cloud, the persistence of features is determined. We illustrate the proposed method by computing a feature weight that measures the likelihood of a point to be an edge, then detects the edge points based on that value at both global and local scales. Moreover, we evaluate quantitatively and qualitatively our method. Experimental results show that the proposed approach achieves a superior accuracy. Furthermore, we demonstrate the robustness of our approach in noisier real-world datasets.
dc.format.extent9 p.
dc.language.isoeng
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.lcshThree-dimensional imaging
dc.subject.otherEdge extraction
dc.subject.otherMulti-scale
dc.subject.otherSegmentation
dc.subject.otherUnorganized point cloud
dc.titleSegmentation-based multi-scale edge extraction to measure the persistence of features in unorganized point clouds
dc.typeConference report
dc.subject.lemacImatges tridimensionals
dc.contributor.groupUniversitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo
dc.identifier.doi10.5220/0006092503170325
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0006092503170325
dc.rights.accessOpen Access
local.identifier.drac20337256
dc.description.versionPostprint (author's final draft)
local.citation.authorBazazian, D.; Casas, J.; Ruiz-Hidalgo, J.
local.citation.contributorInternational Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
local.citation.pubplacePorto
local.citation.publicationName12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
local.citation.startingPage317
local.citation.endingPage325


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