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Point cloud quality evaluation: Towards a definition for test conditions

dc.contributor.authorCruz, Luís
dc.contributor.authorDumic, Emil
dc.contributor.authorAlexiou, Evangelos
dc.contributor.authorPrazeres, João
dc.contributor.authorDuarte, Rafael
dc.contributor.authorPereira, Manuela
dc.contributor.authorPinheiro, Antonio M. G.
dc.contributor.authorEbrahimi, Touradj
dc.date.accessioned2020-02-28T15:33:48Z
dc.date.available2020-02-28T15:33:48Z
dc.date.issued2019
dc.description.abstractRecently stakeholders in the area of multimedia representation and transmission have been looking at plenoptic technologies to improve immersive experience. Among these technologies, point clouds denote a volumetric information representation format with important applications in the entertainment, automotive and geographical mapping industries. There is some consensus that state-of-the-art solutions for efficient storage and communication of point clouds are far from satisfactory. This paper describes a study on point cloud quality evaluation, conducted in the context of JPEG Pleno to help define the test conditions of future compression proposals. A heterogeneous set of static point clouds in terms of number of points, geometric structure and represented scenarios were selected and compressed using octree-pruning and a projection-based method, with three different levels of degradation. The models were comprised of both geometrical and color information and were displayed using point sizes large enough to ensure observation of watertight surfaces. The stimuli under assessment were presented to the observers on 2D displays as animations, after defining suitable camera paths to enable visualization of the models in their entirety and realistic consumption. The experiments were carried out in three different laboratories and the subjective scores were used in a series of correlation studies to benchmark objective quality metrics and assess inter-laboratory consistency.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1109/QoMEX.2019.8743258pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.6/9630
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relationInstituto de Telecomunicações
dc.subjectQuality Assessmentpt_PT
dc.subjectPoint Cloudpt_PT
dc.subjectQuality Metricspt_PT
dc.titlePoint cloud quality evaluation: Towards a definition for test conditionspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleInstituto de Telecomunicações
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FEEA%2F50008%2F2019/PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameDumic
person.familyNameAlexiou
person.familyNameCasanova Prazeres
person.familyNamePereira
person.familyNamePinheiro
person.familyNameEbrahimi
person.givenNameEmil
person.givenNameEvangelos
person.givenNameJoão Pedro
person.givenNameManuela
person.givenNameAntonio
person.givenNameTouradj
person.identifierjt-UsrcAAAAJ
person.identifier.ciencia-id441A-CABD-41E0
person.identifier.ciencia-id0515-7E9C-B97F
person.identifier.ciencia-id2218-265E-17D2
person.identifier.ciencia-id0E18-FBCC-E845
person.identifier.orcid0000-0002-0262-5595
person.identifier.orcid0000-0002-5561-9711
person.identifier.orcid0000-0002-5553-0231
person.identifier.orcid0000-0002-8648-6464
person.identifier.orcid0000-0002-5968-9901
person.identifier.ridB-2723-2012
person.identifier.scopus-author-id24478755200
person.identifier.scopus-author-id35248984200
person.identifier.scopus-author-id8420644500
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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