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Improving Point Cloud to Surface Reconstruction with Generalized Tikhonov Regularization

2017conference paper Open access
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dc.contributor.authorGuarda, André
dc.contributor.authorBioucas-Dias, José M.
dc.contributor.authorM. M. Rodrigues, Nuno
dc.contributor.authorPereira, Fernando
dc.contributor.authorBernardo Pereira, Fernando Manuel
dc.date.accessioned2025-05-20T09:59:26Z
dc.date.available2025-05-20T09:59:26Z
dc.date.issued2017
dc.description.abstractPoint cloud rendering has a vital role in the user Quality of Experience for applications adopting point cloud based representations. While this is not a new area, it has recently become more relevant with the recent interest on point cloud coding by major standardization groups, notably JPEG and MPEG. The screened Poisson surface reconstruction is a state-ofthe- art technique for generating a watertight surface mesh from the point cloud samples. While its screening component allows the surface to better fit the cloud points, this fitting may lead to undesired artifacts in the surface, notably when the point cloud is noisy. This paper proposes to improve this reconstruction method by making it more robust to noise by adopting a generalized Tikhonov regularization term. The proposed regularization approach smooths regions that should be flat while keeping the important details in the edges, thus creating more pleasant surface reconstructions.eng
dc.description.sponsorshipSFRH/BD/118218/2016
dc.identifier.citationA. F. R. Guarda, J. M. Bioucas-Dias, N. M. M. Rodrigues and F. Pereira, "Improving point cloud to surface reconstruction with generalized Tikhonov regularization," 2017 IEEE 19th International Workshop on Multimedia Signal Processing (MMSP), Luton, UK, 2017, pp. 1-6, doi: 10.1109/MMSP.2017.8122287
dc.identifier.doi10.1109/MMSP.2017.8122287
dc.identifier.eissn2473-3628
dc.identifier.urihttp://hdl.handle.net/10400.8/12935
dc.language.isoeng
dc.peerreviewedn/a
dc.publisherIEEE
dc.relationEfficient lossy and lossless compression of point clouds
dc.rights.uriN/A
dc.subjectPoint cloud rendering
dc.subjectsurface reconstruction
dc.subjectgeneralized Tikhonov regularization
dc.subjectdenoising
dc.titleImproving Point Cloud to Surface Reconstruction with Generalized Tikhonov Regularizationeng
dc.typeconference paper
dspace.entity.typePublication
oaire.awardTitleEfficient lossy and lossless compression of point clouds
oaire.awardURIhttp://hdl.handle.net/10400.8/12910
oaire.citation.conferenceDate2017-10-16
oaire.citation.conferencePlaceLuton, UK
oaire.citation.titleIEEE 19th International Workshop on Multimedia Signal Processing (MMSP)
oaire.fundingStreamOE
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameGuarda
person.familyNameM. M. Rodrigues
person.familyNameBernardo Pereira
person.givenNameAndré
person.givenNameNuno
person.givenNameFernando Manuel
person.identifier.ciencia-idF811-146F-4EE9
person.identifier.ciencia-id8010-A48A-90F0
person.identifier.orcid0000-0001-5996-1074
person.identifier.orcid0000-0001-9536-1017
person.identifier.orcid0000-0001-6100-947X
person.identifier.scopus-author-id7006052345
person.identifier.scopus-author-id55952373800
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