Cornell Box [RBW04]
Cornell University Program of Computer Graphics
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Feature-based textures.

Ganesh Ramanarayanan, Kavita Bala, and Bruce Walter.

In H. W. Jensen and A. Keller, editors, Eurographics Workshop on Rendering, 2004.

This paper introduces feature-based textures, a new image representation that combines features and samples for high-quality texture mapping. Features identify boundaries within an image where samples change discontinuously. They can be extracted from vector graphics representations, or explicitly added to raster images to improve sharpness. Texture lookups are then interpolated from samples while respecting these boundaries. We present results from a software implementation of this technique demonstrating quality, efficiency and low memory overhead.

The accompanying video is available as a QuickTime file (~23MB).

This paper is available as a PDF file RBW04.pdf (2.9M).

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