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Photorealistic Learned Landscapes for Augmented Reality
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Rendering grass in real time with dynamic lighting.

Kévin Boulanger1, Sumanta N Pattanaik, Kadi Bouatouch

  • 1University of Central Florida, USA. kboulang@irisa.fr

IEEE Computer Graphics and Applications
|April 15, 2009
PubMed
Summary
This summary is machine-generated.

This study introduces a new real-time grass rendering method for large terrains. It achieves accurate lighting and realistic parallax effects with efficient grass management.

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Area of Science:

  • Computer Graphics
  • Real-time Rendering
  • Terrain Visualization

Background:

  • Efficiently rendering large-scale natural environments like grass in real-time is a significant challenge in computer graphics.
  • Existing methods often struggle with dynamic lighting, shadows, and parallax effects on complex terrains.

Purpose of the Study:

  • To develop a novel real-time grass rendering technique for large, arbitrary terrains.
  • To achieve accurate per-pixel lighting, dynamic shadows, and realistic parallax effects.
  • To implement an efficient grass-density management system for flexible patch rendering.

Main Methods:

  • A hybrid approach combining geometric representations with lit volume slices for accurate lighting.
  • Implementation of a dynamic lighting and shadow system.
  • Development of a fast grass-density management scheme for arbitrary patch shapes.

Main Results:

  • The technique successfully renders large, arbitrary terrains with grass in real-time.
  • Accurate per-pixel lighting and dynamic shadows are achieved.
  • A convincing parallax effect enhances visual realism.
  • Arbitrarily shaped grass patches are rendered efficiently.

Conclusions:

  • The presented technique offers a robust solution for real-time grass rendering on complex terrains.
  • It effectively balances visual fidelity with performance, enabling dynamic lighting and realistic effects.
  • The grass-density management scheme provides flexibility for diverse environmental designs.