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dc.contributor.authorBernal Marín, Miguel
dc.date.accessioned2020-08-07T16:44:04Z
dc.date.available2020-08-07T16:44:04Z
dc.date.issued2012
dc.identifier.urihttps://repositorio.cinvestav.mx/handle/cinvestav/345
dc.formatpdf
dc.format.extentxviii, 105 p. :28 cm.
dc.language.isospa
dc.publisherTesis (D.C.)--Centro de Investigación y de Estudios Avanzados del I.P.N. Unidad Guadalajara.
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0
dc.subject.classificationINGENIERÍA Y TECNOLOGÍA
dc.subject.otherRobot vision
dc.subject.otherInformation visualization
dc.subject.otherImage processing
dc.subject.otherClifford algebras
dc.subject.otherPattern recognition systems
dc.subject.otherRobotics
dc.subject.otherDissertations, Academic
dc.titleTécnicas geométricas y aprendizaje automático para reconstrucción 3D y navegación robótica
dc.typedoctoralThesis
dc.contributor.directorBayro Corrochano, Eduardo José
dc.identificator7
dc.identifier.marc01834cam a2200397 a 4500
dc.coverage.placeofpublicationGuadalajara, Jalisco, México
dc.description.institutionCINVESTAV
dc.description.unidadUnidad Guadalajara
dc.thesis.areaTecnología y Ciencias de la Ingeniería
dc.thesis.degreedisciplineControl Automático.
dc.rights.accessopenAccess


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