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Human visual system modeling and simulation

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Author(s):
Rodrigo Silva Duran
Total Authors: 1
Document type: Master's Dissertation
Press: São Carlos.
Institution: Universidade de São Paulo (USP). Instituto de Ciências Matemáticas e de Computação (ICMC/SB)
Defense date:
Examining board members:
Luis Gustavo Nonato; Odemir Martinez Bruno; Liliane Ventura
Advisor: Luis Gustavo Nonato
Abstract

The computational modeling of the human eye has been wide studied for different sectors of the scientific and technological community. One of the main reasons for this increasing interest is the possibility to reproduce optic properties by means of computational simulations, becoming possible the developmcnt of cfíicient devices to treat and to correct the problems of the vision. The results of this intense research alrcady can bc observed in the equipment for measurements of distortions of the visual system, as the corneal topographers, who had suffered a fast evolution in the last years. Different of that it occurred in other areas of science, as in the medicine, for example, the improvement of devices of ocular measurement has not influenced in a significant form the computational modeling of the visual system. As it can bc noticed from literature, (Gullstrand, 1909), (Emslcy, 1952), (Kooijman, 1983), (L.N. Thibos, 1999a),the majority of the described works still uses models purely theoreticians in the simulation of the visual processes, not making use of the information acquired for the developed modern equipment for the ophthalmology. This project explores this aspect still little investigated of the modeling of the visual system. In set with members of the group of ophthalmologic optics of the Department of Physics of the USP/ São Carlos, the project propose a computational sketch that make possible the use of real data in the modeling and simulation of the human visual system. This new boarding make possible the individual inquiry of the optic system, making possible the construction of new techniques used to infer vital data in medicai investigations. (AU)