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Sample-based cameras for feed forward reflection rendering.

Voicu Popescu1, Elisha Sacks, Chunhui Mei

  • 1Computer Science Department, Purdue University, West Lafayette, IN 47907, USA. popescu@cs.purdue.edu

IEEE Transactions on Visualization and Computer Graphics
|November 1, 2006
PubMed
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This study introduces sample-based cameras for real-time rendering of high-quality reflections on convex surfaces. The novel approach efficiently handles complex scenes with dynamic elements and advanced reflection properties.

Area of Science:

  • Computer Graphics
  • Real-time Rendering
  • Geometric Modeling

Background:

  • Rendering realistic reflections, especially higher-order ones on convex surfaces, is computationally intensive.
  • Existing methods struggle to achieve interactive rates while supporting dynamic scene elements and complex reflector properties.

Purpose of the Study:

  • To develop a novel method for rendering high-quality reflections on convex reflectors at interactive rates.
  • To support dynamic changes in view, object positions, and reflector properties within the rendering pipeline.

Main Methods:

  • Introduced sample-based cameras, collections of BSP trees of pinhole cameras, to approximate complex projection functions.
  • Constructed cameras from reflected rays defined by the desired view and scene reflectors.

Related Experiment Videos

  • Projected scene points by activating only relevant cameras within their frustums, leveraging hardware rasterization.
  • Main Results:

    • Achieved interactive rates for rendering high-quality reflections on convex reflectors.
    • Successfully supported dynamic scene elements, including moving objects and reflectors.
    • Enabled rendering of higher-order reflections and view-dependent lighting effects.

    Conclusions:

    • Sample-based cameras provide an efficient and versatile solution for real-time rendering of complex reflections.
    • The method integrates seamlessly with the feed-forward graphics pipeline, enhancing real-time graphics capabilities.