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

Abstract

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.