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 eye
optic properties by means of computational simulations, becoming possible the development of efficient devices
to treat and to correct the problems of the vision. This work explores this aspect still little investigated of the
modeling of the visual system, considering a computational sketch that make possible the use of real data in
the modeling and simulation of the human visual system. This new approach makes possible the individual
inquiry of the optic system, assisting in the construction of new techniques used to infer vital data in medical
investigations. Using corneal topography to collect real data from patients, a computational model of cornea is
constructed and a set of simulations were build to ensure the correctness of the system and to investigate the
effect of corneal abnormalities in retinal image formation, such as Plcido Discs, Point Spread Function, Wave
front and the projection of a real image and it's visualization on retina.
KEYWORDS: Visualization, Human-machine interfaces, Visual process modeling, Visual analytics, Prototyping, Data modeling, Data analysis, Internet, Java, Computing systems
A number of different resources and a body of new technology has been empowering visualization applications. At the same time, supportive and mostly experimental techniques aimed at increasing the representation power and interpretability of complex data, such as sonification, are beginning to establish a foundation that can be used in real applications. This work presents an architecture and a corresponding prototype implementation of a visualization system that incorporates some of these research and technological aspects, such as visualization on the web, distributed visualization, and sonification. The current development of the prototype is presented, as well as its implications and planned improvements.
KEYWORDS: Reconstruction algorithms, Dentistry, Teeth, Visualization, 3D modeling, Data modeling, Visual process modeling, Computer simulations, Algorithm development, Medicine
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