Visual detection of spatial contrast patterns: Evaluation of five simple models.

The ModelFest Phase One dataset is a collection of luminance contrast thres holds for 43 two-dimensional monochromatic spatial patterns confined to an area of approximately two by two degrees. These data were collected by a co llaboration among twelve laboratories, and were designed to provide a commo n database for calibration and testing of spatial vision models. Here I rep ort fits of the ModelFest data with five models: Peak Contrast, Contrast En ergy, Generalized Energy, a Gabor Channels model, and a Discrete Cosine Tra nsform model. The Gabor Channels model provides the best fit, though the ot her, simpler models, with the exception of Peak Contrast, provide remarkabl y good fits as well. Though there are clear individual differences, regular ities in the data suggest the possibility of constructing a standard observ er for spatial vision. (C) 2000 Optical Society of America.