A parallel CPU/GPU algorithm for 3D pose estimation using CUDA and OpenMP

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dc.contributor.aditionalDíaz Ramírez, Víctor H.
dc.contributor.aditionalMontemayor, Antonio
dc.contributor.aditionalPantrigo, Juan José
dc.contributor.authorPicos, Kenia
dc.coverage.spatialInstituto Politécnico Nacional.es_ES
dc.date.accessioned2019-12-20T00:27:01Z
dc.date.available2019-12-20T00:27:01Z
dc.date.issued2016
dc.description.abstractPose recognition is characterized by location and orientation parameters, in which introduces high complexity due the huge number of visualization than a target can present within a scene. Several issues such as noise, incident light sources and geometrical distortions, modify the appearance of a target with respect an observation point, making object recognition a complex task. A design of an effective algorithm is needed in order to analyze the physical phenomena implied in the visualization of a moving 3D object, and to improve the execution performance.es_ES
dc.identifier.urihttps://repositorio.cetys.mx/handle/60000/197
dc.language.isoen_USes_ES
dc.rightsAtribución-NoComercial-CompartirIgual 2.5 México*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/2.5/mx/*
dc.subjectReconocimiento de posees_ES
dc.subjectParámetros de ubicación
dc.subject.sedeCampus Tijuanaes_ES
dc.titleA parallel CPU/GPU algorithm for 3D pose estimation using CUDA and OpenMPes_ES
dc.typeOtheres_ES

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