dc.contributorUniversidade Estadual Paulista (UNESP)
dc.creatorGalo, Mauricio
dc.creatorTozzi, Clesio L.
dc.date2014-05-27T11:19:49Z
dc.date2016-10-25T18:16:01Z
dc.date2014-05-27T11:19:49Z
dc.date2016-10-25T18:16:01Z
dc.date1999-12-01
dc.date.accessioned2017-04-06T00:55:25Z
dc.date.available2017-04-06T00:55:25Z
dc.identifierIEEE International Conference on Image Processing, v. 4, p. 410-414.
dc.identifierhttp://hdl.handle.net/11449/65953
dc.identifierhttp://acervodigital.unesp.br/handle/11449/65953
dc.identifier10.1109/ICIP.1999.819625
dc.identifier2-s2.0-0033315380
dc.identifier0000-0002-0104-9960
dc.identifierhttp://dx.doi.org/10.1109/ICIP.1999.819625
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/887602
dc.descriptionIn this paper, the concept of Matching Parallelepiped (MP) is presented. It is shown that the volume of the MP can be used as an additional measure of `distance' between a pair of candidate points in a matching algorithm by Relaxation Labeling (RL). The volume of the MP is related with the Epipolar Geometry and the use of this measure works as an epipolar constraint in a RL process, decreasing the efforts in the matching algorithm since it is not necessary to explicitly determine the equations of the epipolar lines and to compute the distance of a candidate point to each epipolar line. As at the beginning of the process the Relative Orientation (RO) parameters are unknown, a initial matching based on gradient, intensities and correlation is obtained. Based on this set of labeled points the RO is determined and the epipolar constraint included in the algorithm. The obtained results shown that the proposed approach is suitable to determine feature-point matching with simultaneous estimation of camera orientation parameters even for the cases where the pair of optical axes are not parallel.
dc.languageeng
dc.relationIEEE International Conference on Image Processing
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectAlgorithms
dc.subjectComputational geometry
dc.subjectComputational methods
dc.subjectConstraint theory
dc.subjectEstimation
dc.subjectProblem solving
dc.subjectMatching parallelepiped (MP)
dc.subjectRelative orientation (RO)
dc.subjectRelaxation labeling (RL)
dc.subjectFeature extraction
dc.titleConcept of Matching Parallelepiped and its use in the correspondence problem
dc.typeOtro


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