José Fernando Díez Higuera

Adaptative Resonance Theory Fuzzy Networks Parallel Computation Using CUDA

Programming of Graphics Processing Units (GPUs) has evolved in a way they can be used to address and speed-up computation of algorithms exemplified by data-parallel models. In this paper parallelization of a Fuzzy ART algorithm is described and a detailed explanation of its implementation under CUDA is given. Experimental results show the algorithm runs up to 52 times faster on the GPU than on the CPU for testing and 18 times faster for training under specific conditions.

Real Time GPU-Based Fuzzy ART Skin Recognition

Graphics Processing Units (GPUs) have evolved into powerful programmable processors, becoming increasingly used in many research fields such as computer vision. For non-intrusive human body parts detection and tracking, skin filtering is a powerful tool. In this paper we propose the use of a GPU-designed implementation of a Fuzzy ART Neural Network for robust real-time skin recognition. Both learning and testing processes are done on the GPU using chrominance components in TSL color space. Within the GPU, classification of several pixels can be made simultaneously, allowing skin recognition at high frame rates. System performance depends both on video resolution and number of neural network committed categories. Our application can process 296 fps or 79 fps at video resolutions of 320x240 and 640x480 pixels respectively.

MINERVA: multimedia on the Internet for virtual arts

This paper describes a design that implements a Virtual Museum for its access through Internet. It can not only provide the information so far available in the Web, but also allows a three-dimensional (3D) walk through the whole Museum, watching its collections, plus a presentation of single objects in 3D, with different resolutions according to each visitor interests and with a real possibility of visitor-object interaction. All this opens a wide new path of investigation, as it brings 3D into Internet and means a contribution to the increase of interactivity in Web pages.