@unpublished{Ferwerda2007_0,
        Abstract = {The goal of realistic image synthesis is to produce computer graphics images that are faithful representations of real or modeled scenes. Over the past 30 years great progress has been made toward this goal with the development of physically-based algorithms that accurately simulate the interactions of light and objects in complex environments. Physically-based image synthesis has the potential to revolutionize the use of computer graphics in science, engineering, medicine, and other fields, because the images can be both accurate physical simulations and predictive visual representations of important phenomena. Unfortunately several problems have limited its wider acceptance. First, modeling a scene can be a difficult and labor intensive process. Second, rendering algorithms are computationally expensive and often take hours to generate even a single image. Finally, once an image has been generated, there is often no way to accurately present it on conventional display devices. In this talk I will first describe research that addresses these problems by incorporating psychophysical models of human vision into the image synthesis process. I will then discuss how these image synthesis methods to can be used to create new tools for the detection, simulation, and remediation of visual impairments.},
        Author = {James A. Ferwerda},
        Keywords = {image synthesis},
        Month = {},
        Note = {In seminar 'Chester F. Carlson Center for Imaging Science Seminar Series'},
        Title = {Visual Models for Realistic Image Synthesis},
        Url = {http://www.cis.rit.edu/files/1644_J. Ferwerda-CIS Seminar 4-10-07.pdf},
        Year = {2007}