Retina simulation using cellular automata and GPU programming

被引:28
作者
Gobron, Stephane
Devillard, Francois
Heit, Bernard
机构
[1] Henri Poincare Univ, St Die Vosges Inst technol, UMR, CNRS 7039 CRAN, F-88100 Saint Die Vosges, France
[2] Univ Marseille 2, Movement & Perception Lab, F-13288 Marseille, France
[3] Henri Poincare Univ, ESSTIN, F-54500 Vandoeuvre Les Nancy, France
关键词
computer vision; real-time computing; artificial retina; Graphical Processor Unit programming; OpenGL shading language; cellular automata;
D O I
10.1007/s00138-006-0065-8
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This article shows how the architectural modelization of biological retina allows real-time performances, on standard widespread computing systems. First, we describe the biological retina with regard to its pipeline architecture, detailing its layer behaviours and properties. Then we propose a corresponding pipelined model of artificial 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 demonstrates the efficiency of our model through numerical and graphical results. We lay particular emphasis on the fact that our direct implementation of the Graphical Processor Unit (GPU) provides computation power about 20 times as fast as conventional programming.
引用
收藏
页码:331 / 342
页数:12
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