“Radiosity” by Cohen, Campbell, Greenberg, Hanrahan, Rushmeier, et al. …

  • ©Michael F. Cohen, A. T. Campbell, Donald P. Greenberg, Patrick (Pat) Hanrahan, Holly E. Rushmeier, François X. Sillion, and John R. Wallace


    Some experience in or working knowledge of image synthesis and comfort with college-level calculus.

    Who Should Attend
    People involved in the development or use of algorithms far image synthesis or the design of systems that can take advantage of image synthesis techniques.

    Attendees learn underlying principles that led to the development of radiosity far image synthesis. The course provides insight into the decisions and trade-offs encountered in implementing a radiosity system, and develops realistic expectations far what can be achieved with current and potential technology.

    The course focuses on a body of realistic image synthesis algorithms which model the inter-reflection of light within an environment. It covers basic formulation of radiosity through development of energy equilibrium integral equations and the discretization of such equations to make their solutions computable. Recent algorithmic techniques that make radiosity an attractive alternative to image synthesis are described. The course contains new material on practical problems in developing and using radiosity algorithms encountered by researchers and developers who implemented early systems. Some human perception issues as they relate to image synthesis also are covered.

Contents/Schedule PDF:

Contributed By:

    Mary Whitton


    Charles Babbage Institute Archives, University of Minnesota

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