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hal.structure.identifierLaboratoire Photonique, Numérique et Nanosciences [LP2N]
hal.structure.identifierSaarland University [Saarbrücken]
dc.contributor.authorRESHTOUSKI, Ilya
hal.structure.identifierSaarland University [Saarbrücken]
hal.structure.identifierLaboratoire Photonique, Numérique et Nanosciences [LP2N]
dc.contributor.authorMANAKOV, Alkhazur
hal.structure.identifierMIT media Lab
dc.contributor.authorBHANDARI, Ayush
hal.structure.identifierMIT media Lab
dc.contributor.authorRASKAR, Ramesh
hal.structure.identifierMax-Planck-Institut für Informatik [MPII]
dc.contributor.authorSEIDEL, Hans-Peter
hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
hal.structure.identifierMelting the frontiers between Light, Shape and Matter [MANAO]
hal.structure.identifierLaboratoire Photonique, Numérique et Nanosciences [LP2N]
dc.contributor.authorIHRKE, Ivo
dc.date.accessioned2023-05-12T10:21:31Z
dc.date.available2023-05-12T10:21:31Z
dc.date.issued2013-06-25
dc.date.conference2013-06-25
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/181114
dc.description.abstractEnWe investigate the problem of identifying the position of a viewer inside a room of planar mirrors with unknown geometry in conjunction with the room's shape parameters. We consider the observations to consist of angularly resolved depth measurements of a single scene point that is being observed via many multi-bounce interactions with the specular room geometry. Applications of this problem statement include areas such as calibration, acoustic echo cancelation and time-of-flight imaging. We theoretically analyze the problem and derive sufficient conditions for a combination of convex room geometry, observer, and scene point to be reconstructable. The resulting constructive algorithm is exponential in nature and, therefore, not directly applicable to practical scenarios. To counter the situation, we propose theoretically devised geometric constraints that enable an efficient pruning of the solution space and develop a heuristic randomized search algorithm that uses these constraints to obtain an effective solution. We demonstrate the effectiveness of our algorithm on extensive simulationsas well as in a challenging real-world calibration scenario.
dc.language.isoen
dc.title.enDiscovering the Structure of a Planar Mirror System from Multiple Observations of a Single Point
dc.typeCommunication dans un congrès avec actes
dc.subject.halInformatique [cs]/Synthèse d'image et réalité virtuelle [cs.GR]
bordeaux.hal.laboratoriesLaboratoire Photonique, Numérique et Nanosciences (LP2N) - UMR 5298*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionCNRS
bordeaux.countryUS
bordeaux.title.proceedingCVPR - Conference on Computer Vision and Pattern Recognition
bordeaux.conference.cityPortland, Oregon
bordeaux.peerReviewedoui
hal.identifierhal-00863919
hal.version1
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-00863919v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.date=2013-06-25&rft.au=RESHTOUSKI,%20Ilya&MANAKOV,%20Alkhazur&BHANDARI,%20Ayush&RASKAR,%20Ramesh&SEIDEL,%20Hans-Peter&rft.genre=proceeding


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