RETINA: a Model of Visual Information Processing in the Retinal Neural Network
In computer vision, there exist many problems of visual information representation and recognition that have not yet found their effective treatment (Faure A., 1985, Pugh A., 1983). The most of these problems are connected with bulky information processed in real time and with image distortion in the real world. It seems us that the second problem will be adequately treated on the base of the imitation of the biological visual perception mechanisms.
KeywordsRetina Convolution Pyramid
Unable to display preview. Download preview PDF.
- Faure A.(1985) “Perception et reconnaissance des forms”,EdiTests edit., Paris ido (1989) Machinostroenie edit.,Moscou.Google Scholar
- Hecht-Nielsen R. and Zhow Y.T. (1992) “A low cost foveal vision system”, Report on Government Conference on Neural Networks, Ohio, USAGoogle Scholar
- Mac Gregor R.J.(1987) “Neural and brain modeling”, Acad. Press, San Diego, USAGoogle Scholar
- Pugh A. (1983) “Robot vision”, Springer-Verlag, BerlinGoogle Scholar
- Rybak LA, Go10van A. V, Gusakova V.I, Shevstova N.A, Podladchikova L.N. (1990), “A neural network system for active visual perception and recognition”, Neural Network World, 4, 245–250Google Scholar
- Zeevi Y.Y., Ginosar R. (1990) “Neural computers for foveating vision systems”, in “Advanced neural computers”, R.Eckmiller editor, Elsevier Science Publishers B. V., North-Holland, 323–330Google Scholar