This article shows how the architecturalmod- elization of biological retina allows real-time performances on cheap and widespread computing systems. Firstly we describe the biological retina in terms of its pipeline ar- chitecture detailing its layer behaviors and properties. Then we propose a corresponding pipelined model of ar- tificial retina based on cellular automata. In this work, the main innovation is the computing method based on the programming of a personal computer graphical card using OpenGL shading language. The last section demon- strates efficiency of our model with numerical and graph- ical results. We particularly highlight that our direct im- plementation on the Graphical Processor Unit (GPU) provides a computation power about twenty times as fast as ordinary programming.
David Atienza Alonso, Alexandre Sébastien Julien Levisse, Miguel Peon Quiros, Simone Machetti, Pasquale Davide Schiavone
Aurélien François Gilbert Bloch
Denis Gillet, Juan Carlos Farah, Adrian Christian Holzer, Abdessalam Ouaazki