masterThesis
Acelerando algoritmos de baixo nível em visão robótica com hardware reconfigurável
Fecha
2011-02-18Registro en:
ARAÚJO, Gianna Rodrigues de. Acelerando algoritmos de baixo nível em visão robótica com hardware reconfigurável. 2011. 51 f. Dissertação (Mestrado em Automação e Sistemas; Engenharia de Computação; Telecomunicações) - Universidade Federal do Rio Grande do Norte, Natal, 2011.
Autor
Araújo, Gianna Rodrigues de
Resumen
A challenge that remains in the robotics field is how to make a robot to react in real
time to visual stimulus. Traditional computer vision algorithms used to overcome this problem
are still very expensive taking too long when using common computer processors.
Very simple algorithms like image filtering or even mathematical morphology operations
may take too long. Researchers have implemented image processing algorithms in high
parallelism hardware devices in order to cut down the time spent in the algorithms processing,
with good results. By using hardware implemented image processing techniques
and a platform oriented system that uses the Nios II Processor we propose an approach
that uses the hardware processing and event based programming to simplify the vision
based systems while at the same time accelerating some parts of the used algorithms