Please use this identifier to cite or link to this item: https://repositorio.ufrn.br/handle/1/3157
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dc.contributor.authorAires, Kelson R. T.-
dc.contributor.authorAraújo, Helder de J.-
dc.contributor.authorMedeiros, Adelardo Adelino Dantas de-
dc.date.accessioned2010-10-07T14:13:10Z-
dc.date.available2010-10-07T14:13:10Z-
dc.date.issued2008-
dc.identifier.citationAIRES, K. R. T.; ARAÚJO, H. J.; MEDEIROS, A. A. D. (2008)pt_BR
dc.identifier.urihttps://repositorio.ufrn.br/jspui/handle/1/3157-
dc.descriptionAIRES, Kelson R. T. ; ARAÚJO, Hélder J. ; MEDEIROS, Adelardo A. D. . Plane Detection from Monocular Image Sequences. In: VISUALIZATION, IMAGING AND IMAGE PROCESSING, 2008, Palma de Mallorca, Spain. Proceedings..., Palma de Mallorca: VIIP, 2008pt_BR
dc.description.abstractPlanes are important geometric features and can be used in a wide range of applications. This work aims to illustrate a homography-based method to detect planes using the affine model. Using two image frames from a monocular sequence, a set of match pairs of interest points is obtained using Harris corner detector combined with the Scale Invariant Feature Transform (SIFT) as local descriptor. A Delaunay triangulation is performed on the set of detected corners of the first image and we use a triangle to calculate an affine homography that represents a plane in the image. An algorithm was developed to cluster interest points belonging to the same plane based on the reprojection error of the affine homography. Tests are performed in different sequences of indoor and outdoor images and results are shownpt_BR
dc.language.isoporpt_BR
dc.rightsAcesso Aberto-
dc.subjectComputer visionpt_BR
dc.subjectPlane detectionpt_BR
dc.subjectAffine homographypt_BR
dc.titlePlane detection from monocular image sequencespt_BR
dc.typearticlept_BR
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