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Feature-Based Textures

File(s)
TR2004-1937.pdf (3.1 MB)
Permanent Link(s)
https://hdl.handle.net/1813/5648
Collections
Computing and Information Science Technical Reports
Author
Ramanarayanan, Ganesh
Bala, Kavita
Walter, Bruce
Abstract

This paper introduces feature-based textures, a new image representation that combines features and texture samples for high-quality texture mapping. Features identify boundaries within a texture where samples change discontinuously. They can be extracted from vector graphics representations, or explicity 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.

Date Issued
2004-05-13
Publisher
Cornell University
Keywords
computer science
•
technical report
Previously Published as
http://techreports.library.cornell.edu:8081/Dienst/UI/1.0/Display/cul.cis/TR2004-1937
Type
technical report

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