Show simple item record

dc.contributor.authorSmolic, Aljosa
dc.date.accessioned2021-01-21T17:22:34Z
dc.date.available2021-01-21T17:22:34Z
dc.date.created5-9 January 2021en
dc.date.issued2021
dc.date.submitted2021en
dc.identifier.citationMoynihan, M., Ruano, S., Pagés, R., Smolic, A., Autonomous Tracking For Volumetric Video Sequences, Winter Conference on Applications of Computer Vision 2021 ( Online WACV January 5-9), Waikoloa, United Statesen
dc.identifier.otherY
dc.identifier.urihttp://hdl.handle.net/2262/94749
dc.description.abstractAs a rapidly growing medium, volumetric video is gaining attention beyond academia, reaching industry and creative communities alike. This brings new challenges to reduce the barrier to entry from a technical and economical point of view. We present a system for robustly and autonomously performing temporally coherent tracking for volumetric sequences, specifically targeting those from sparse setups or with noisy output. Our system will detect and recover missing pertinent geometry across highly incoherent sequences as well as provide users the option of propagating drastic topology edits. In this way, afford-able multi-view setups can leverage temporal consistency to reduce processing and compression overheads while also generating more aesthetically pleasing volumetric sequences.en
dc.language.isoenen
dc.relation.urihttps://www.researchgate.net/publication/346097410_Autonomous_Tracking_For_Volumetric_Video_Sequencesen
dc.rightsYen
dc.titleAutonomous Tracking For Volumetric Video Sequencesen
dc.title.alternativeWinter Conference on Applications of Computer Vision 2021 (WACV 2021), 2021.en
dc.typeConference Paperen
dc.type.supercollectionscholarly_publicationsen
dc.type.supercollectionrefereed_publicationsen
dc.identifier.peoplefinderurlhttp://people.tcd.ie/smolica
dc.identifier.rssinternalid222976
dc.identifier.doi10.13140/RG.2.2.19803.59687
dc.rights.ecaccessrightsopenAccess
dc.relation.citesCitesen
dc.subject.TCDThemeCreative Technologiesen
dc.subject.TCDThemeDigital Engagementen
dc.subject.TCDThemeDigital Humanitiesen
dc.subject.TCDTagComputer Education/Literacyen
dc.subject.TCDTagData Analysisen
dc.subject.TCDTagImage Processingen
dc.subject.TCDTagInformation technology in educationen
dc.subject.TCDTagMultimedia & Creativityen
dc.subject.darat_thematicCommunityen
dc.subject.darat_thematicCommunicationen
dc.subject.darat_thematicEducationen
dc.status.accessibleNen
dc.contributor.sponsorScience Foundation Ireland (SFI)en
dc.contributor.sponsorGrantNumber15/RP/2776en


Files in this item

Thumbnail
Thumbnail

This item appears in the following Collection(s)

Show simple item record