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dc.contributor.authorPerez-Sala, Xavier
dc.contributor.authorIgual, Laura
dc.contributor.authorEscalera, Sergio
dc.contributor.authorAngulo Bahón, Cecilio
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.identifier.citationPerez-Sala, X. [et al.]. Uniform sampling of rotations for discrete and continuous learning of 2D shape models. A: "Robotic vision : technologies for machine learning and vision applications". IGI Global, 2012, p. 23-42.
dc.description.abstractDifferent methodologies of uniform sampling over the rotation group, SO(3), for building unbiased 2D shape models from 3D objects are introduced and reviewed in this chapter. State-of-the-art non uniform sampling approaches are discussed, and uniform sampling methods using Euler angles and quaternions are introduced. Moreover, since presented work is oriented to model building applications, it is not limited to general discrete methods to obtain uniform 3D rotations, but also from a continuous point of view in the case of Procrustes Analysis.
dc.format.extent20 p.
dc.publisherIGI Global
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Reconeixement de formes
dc.subjectÀrees temàtiques de la UPC::Informàtica::Robòtica
dc.subject.lcshPattern recognition systems
dc.subject.lcshImage processing--Methodology
dc.subject.lcshTwo-dimensional digital signal processing
dc.titleUniform sampling of rotations for discrete and continuous learning of 2D shape models
dc.typePart of book or chapter of book
dc.subject.lemacReconeixement d'imatges
dc.contributor.groupUniversitat Politècnica de Catalunya. GREC - Grup de Recerca en Enginyeria del Coneixement
dc.description.peerreviewedPeer Reviewed
dc.rights.accessRestricted access - publisher's policy
dc.description.versionPostprint (published version)
local.citation.authorPerez-Sala, X.; Igual, L.; Escalera, S.; Angulo, C.
local.citation.publicationNameRobotic vision : technologies for machine learning and vision applications

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