Abstract. In this study of global illumination computations, we investigate the applications of the perceptually-based Visual Difference Predictor (VDP) developed by Daly. First, we validate the performance of this predictor in shadow masking by texture and luminance contrast experiments. We also experiment with Contrast Sensitivity Functions (CSFs) derived from the results of various psychophysical experiments, various spatial frequency and orientation channel decomposition schemes, and contrast definitions, in order to check predictor integrity and sensitivity to differing models of visual mechanisms. We show applications of the VDP to monitor the perceived quality of the progressive radiosity and Monte Carlo solutions, and decide upon their stopping conditions. Also, based on the local error metric provided by the predictor we show some initial attempts to drive adaptive mesh subdivision in radiosity computations.
(A postscript version of this paper is available. Also, color figures can be downloaded.)