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Algorithms for the Detection and Elimination of Specular Aliasing John Amanatides
 

Summary: Algorithms for the Detection and Elimination of Specular Aliasing
John Amanatides
Dept. of Computer Science
York University
North York, Ontario
Canada M3J 1P3
Abstract
This paper introduces an algorithm that, given the
geometry and surface characteristics of an object (the
Phong highlight model is assumed), detects when specu-
lar or highlight aliasing is expected and indicates the cor-
rect sampling rate to eliminate it. This is accomplished
by noting the geometric properties of the surface, the
direction and distances to the eye and light sources, and
the specular shading parameters. Also, an auxiliary
algorithm is presented that eliminates the specular alias-
ing without increasing the sampling rate. It accom-
plishes this by clamping the specular function parame-
ters to values that will not introduce significant high fre-
quency components.

  

Source: Amanatides, John - Department of Computer Science, York University (Toronto)

 

Collections: Computer Technologies and Information Sciences