Paper Info
Title
A model of visual adaptation for realistic image synthesis
Abstract
In this paper we develop a computational model of vi- sual adaptation for realistic image synthesis based on psy- chophysical experiments. The model captures the changes in threshold visibility, color appearance, visual acuity, and sensitivity over time that are caused by the visual system's adaptation mechanisms. We use the model to display the results of global illumination simulations illuminated at in- tensities ranging from daylight down to starlight. The re- sulting images better capture the visual characteristics of scenes viewed over a wide range of illumination levels. Be- cause the model is based on psychophysical data it can be used to predict the visibility and appearance of scene fea- tures. This allows the model to be used as the basis of perceptually-based error metrics for limiting the precision of global illumination computations. CR Categories and Subject Descriptors: I.3.0 (Computer Graphics): General; I.3.6 (Computer Graphics): Methodology and Techniques. Additional Key Words and Phrases: realistic image synthesis, vision, visual perception, adaptation.
Year
DOI
Venue
1996
10.1145/237170.237262
SIGGRAPH
Keywords
Field
DocType
visual perception,vision,visual adaptation,realistic image synthesis,adaptation,computer graphic,global illumination,computer model
Computer vision,Visibility,Computer graphics (images),Human visual system model,Computer science,Daylight,Ranging,Starlight,Artificial intelligence,Global illumination,Visual perception,Computation
Conference
ISBN
Citations 
PageRank 
0-89791-746-4
204
31.91
References 
Authors
2
4
Search Limit
100204
Name
Order
Citations
PageRank
James A. Ferwerda11854204.39
Sumanta N. Pattanaik2964129.60
Peter Shirley34732426.39
Donald P. Greenberg448841568.57