Simulating Visual Perception
Abstract
The aim of this work is to simulate glaring headlights on a conventional monitor by first measuring the time-dependent effect of glare on human contrast perception and then to integrate the quantitative findings into a driving simulator by adjusting contrast display according to human perception.
Publications
Investigation of Lightness Illusions in Artificial Neural Networks
in Journal of Vision, vol. 18, no. 10, September 2018.
Simulating Visual Contrast Reduction during Night-time Glare Situations on Conventional Displays
in ACM Transactions on Applied Perception, vol. 14, no. 1, pp. 4:1-4:20, July 2016.
Measuring, Modeling and Simulating the Re-adaptation Process of the Human Visual System after Short-time Glares in Traffic Scenarios
PhD thesis, TU Braunschweig, July 2015.
Integrating Headlight Glares into Driving Simulations Based on Human Contrast Perception
in Proc. VISION2012, vol. 821, SIA, October 2012.
Psychophysical measurement of headlight glare aftereffects on human contrast perception for optimizing a driving simulator
in Proc. ISAL, pp. 61-62, September 2011.
Realistic Simulation of Human Contrast Perception after Headlight Glares in Driving Simulations
in Proc. ACM Applied Perception in Computer Graphics and Visualization (APGV), August 2011.
Realistic Simulation of Human Contrast Perception after Exposure to Frontal Headlight Glare in Driving Simulations
in Proc. ARVO, May 2011.
Related Projects
Featuring more than 10 million pixels at 120 Hertz refresh rate, full-body motion capture, as well as real-time gaze tracking, our 5-meter ICG Dome enables us to research peripheral visual perception, to devise comprehensive foveal-peripheral rendering strategies, and to explore multi-user immersive visualization and interaction.
Visual Fidelity Optimization of Displays
The visual experience afforded by digital displays is not identical to our perception of the genuine real world. Display resolution, refresh rate, contrast, brightness, and color gamut neither match the physics of the real world nor the perceptual characteristics of our Human Visual System. With the aid of new algorithms, however, a number of perceptually noticeable degradations on screen can be diminished or even completely avoided.