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dc.contributor | Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions |
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dc.contributor | Universitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo |
dc.contributor.author | Lin, Xiao |
dc.contributor.author | Casas Pla, Josep Ramon |
dc.contributor.author | Pardàs Feliu, Montse |
dc.date | 2017 |
dc.identifier.citation | Lin, X., Casas, J., Pardas, M. 3D point cloud segmentation using a fully connected conditional random field. A: European Signal Processing Conference. "2017 25th European Signal Processing Conference: EUSIPCO 2017: Kos, Greece: 28 August-2 September 2017". Institute of Electrical and Electronics Engineers (IEEE), 2017, p. 66-70. |
dc.identifier.citation | 978-1-5386-0751-0 |
dc.identifier.citation | 10.23919/EUSIPCO.2017.8081170 |
dc.identifier.uri | http://hdl.handle.net/2117/119742 |
dc.language.iso | eng |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) |
dc.relation | https://ieeexplore.ieee.org/document/8081170/ |
dc.rights | info:eu-repo/semantics/openAccess |
dc.subject | Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal |
dc.subject | Signal processing |
dc.subject | Computer vision |
dc.subject | Image segmentation |
dc.subject | Image sequences |
dc.subject | Minimisation |
dc.subject | Object recognition |
dc.subject | Tractament del senyal |
dc.title | 3D point cloud segmentation using a fully connected conditional random field |
dc.type | info:eu-repo/semantics/publishedVersion |
dc.type | info:eu-repo/semantics/conferenceObject |
dc.description.abstract | |
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