“Theory and Practice of Non-Photorealistic Graphics: Algorithms, Methods, and Production Systems” by Sousa, Achorn, Teece, Carpendale, Ebert, et al. …

  • ©Mario Costa Sousa, Brett Achorn, Daniel Teece, Sheelagh Carpendale, David S. Ebert, Bruce Gooch, Victoria L. Interrante, Lisa Streit, and Oleg Veryovka

Entry Number: 10

Title:

    Theory and Practice of Non-Photorealistic Graphics: Algorithms, Methods, and Production Systems

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    Prerequisites
    Intermediate knowledge of 3D computer graphics and scientific visualization algorithms. Programming experience using a 3D library for interactive graphics and some awareness of existing NPR techniques may be helpful. Not required: prior knowledge of background in artistic techniques, traditional scientific illustration, or perceptual psychology.

    Topics
    Algorithms and numerical methods for interpreting form (silhouettes and shape features), aspects of the viewing and rendering pipeline (texturing, algorithms for scientific illustration, inkline rendering solutions, alternate viewing systems through distortion and deformation), algorithms and techniques for composition and production (composition rules, 2D and 3D interplay, the DeepCanvas system).

    Description
    Important developments from academia and industry in non-photorealistic rendering (NPR). With a balanced approach that combines traditional techniques and detailed presentations of NPR algorithms, this course describes methods for analyzing shape features, viewing and rendering, and the internal workings of NPR production systems.

     

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