Visualization is ultimately a psycho-physiological phenomenon. This remark could be exploited in solving some current challenges of visualization research. One of the most striking fact of biological vision is its use of foveated images in which the resolution is higher at the fovea than at the periphery. Such images have remarkably low data density compared to uniform images. To compensate for the loss of uniform resolution, we must provide new degrees of active control to the visualiser. Our research is focused on developing such techniques and applications.

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