Algorithms for the detection and elimination of specular aliasing
John Amanatides · 1992
This paper introduces an algorithm that, given the geometry and surface characteristics of an object (the Phong highlight model is assumed), detects when specular or highlight aliasing is expected and indicates the correct 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 aliasing without increasing the sampling rate. It accomplishes this by clamping the specular function parameters to values that will not introduce significant high frequency components. Keywords anti-aliasing, shading, highlights, image synthesis Introduction An area of research in computer graphics that continues to receive a lot of attention is anti-aliasing (Crow, 1977; Cook, 1986). Much work, however, has concentrated with the edges of the display primitives, noting, correctly, that the most not...