Issue No.03 - March (1986 vol.6)
Michael Cohen , Cornell University Program of Computer Graphics
Donald Greenberg , Cornell University Program of Computer Graphics
David Immel , Cornell University Program of Computer Graphics
Philip Brock , Cornell University Program of Computer Graphics
The radiosity method models the interaction of light between diffusely reflecting surfaces and accurately predicts the global illumination effects. Procedures are now available to simulate complex environments including occluded and textured surfaces. For accurate rendering, the environment must be discretized into a fine mesh, particularly in areas of high intensity gradients. The interdependence between surfaces implies solution techniques which are computationally intractable. This article describes new procedures to predict the global illumination function without excessive computational expense. Statistics indicate the enormous potential of this approach for realistic image synthesis, particularly for dynamic images of static environments.
Michael Cohen, Donald Greenberg, David Immel, Philip Brock, "An Efficient Radiosity Approach for Realistic Image Synthesis", IEEE Computer Graphics and Applications, vol.6, no. 3, pp. 26-35, March 1986, doi:10.1109/MCG.1986.276629