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Título : A parallel CPU/GPU Algorithm for 3D Pose Estimation using CUDA and OpenMP
Autor : Picos, Kenia
Autor: Díaz-Ramírez, Víctor H.
Montemayor, Antonio
Pantrigo, Juan
Palabras clave : Reconocimiento de pose;Parámetros de ubicación
Sede: Campus Tijuana
Resumen : Pose 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.
URI : https://repositorio.cetys.mx/handle/60000/197
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