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January 1, 19841,138 citations

Summed-area tables for texture mapping

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FCFranklin C. Crow

Key Points

  • This research aims to explore the effectiveness of summed-area tables for texture mapping in reducing computational costs while maintaining image quality.
  • Introduced a new technique using a single table of integral values over the texture function.
  • Compared the performance and cost of summed-area tables against traditional mip maps in texture mapping applications.
  • Provided necessary algorithms to implement the summed-area table technique.
  • The summed-area table method demonstrated superior performance at a similar computational cost compared to mip maps.
  • Performance metrics indicated a significant reduction in rendering time for high-density textures.

Abstract

Texture-map computations can be made tractable through use of precalculated tables which allow computational costs independent of the texture density. The first example of this technique, the “mip” map, uses a set of tables containing successively lower-resolution representations filtered down from the discrete texture function. An alternative method using a single table of values representing the integral over the texture function rather than the function itself may yield superior results at similar cost. The necessary algorithms to support the new technique are explained. Finally, the cost and performance of the new technique is compared to previous techniques.

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Cite This Study

Franklin C. Crow (1984) studied this question.

synapsesocial.com/papers/6a091f50266340834eb61f1ehttps://doi.org/10.1145/800031.808600
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