Xref: utzoo alt.fractals:1231 sci.math:17226 comp.graphics:17749 Path: utzoo!utgpu!news-server.csri.toronto.edu!cs.utexas.edu!sdd.hp.com!uakari.primate.wisc.edu!dali.cs.montana.edu!milton!bungi From: bungi@milton.u.washington.edu (Timothy J. Wood) Newsgroups: alt.fractals,sci.math,comp.graphics Subject: Re: 3-d fractal raytracer? Message-ID: <1991May3.183504.12985@milton.u.washington.edu> Date: 3 May 91 18:35:04 GMT References: <1991Apr30.074427.29894@milton.u.washington.edu> <1991May3.085302.18527@zorch.SF-Bay.ORG> Organization: University of Washington, Seattle Lines: 25 In article <1991May3.085302.18527@zorch.SF-Bay.ORG> xanthian@zorch.SF-Bay.ORG (Kent Paul Dolan) writes: >> bungi@u.washington.edu writes: > >> Failing this, does anyone know a fairly accurate method for computing >> the a normal to a procedurally defined surface (in this case M or >> J_c)? > >... what in the >world does one intend when one says the "normal" to such an object at a >particular point? > >Does one limit resolution, do some local smoothing, and take the normal >to the resultant bounding surface? > The method i'm using is an approximation based on the gradient of the distance estimator function d(z) presented in 'The Science of Fractal Images' (Peitgen). One can also use the gradient of the potential function G(z) (from the same source). -- ------------------------------------------------------------------------------- Timothy Wood : bungi@u.washington.edu, tjwood@cs.washington.edu ... alice everyday brings sunshine ...