MPI parallel implementation of 3D object categorization using spin-images

Object recognition and categorization are two important key features of computer vision. Accuracy aspects represent research challenge fo r both object recognition and categorization techniques. High performance computing (HPC) technologies usually manage the increasing time and complexity of computations. In this paper, a new approach that use 3D spin-images for 3D object categorization is introduced. The main contribution of our approach i s that it employs the MPI techniques in a unique way to extract spin-images. The technique proposed utilizes the independence between spin-images generated at each point. Time estimation of our technique ha ve shown dramatic decrease of the categorization time proportional to number of workers used.