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==Applications of pyramids==
In the early days of computer vision, pyramids were used as the main type of multi-scale representation for computing multi-scale image [[feature detection (computer vision)|features]] from real-world image data. Today, this role has been taken over by [[scale-space]] representation, motivated by the more solid theoretical foundation, the ability to decouple the subsampling stage from the multi-scale representation, the more powerful tools for theoretical analysis as well as the ability to compute a representation at ''any'' desired scale, thus avoiding the algorithmic problems of relating image representations at different levels of representation. Nevertheless, pyramids are still frequently used for expressing computationally efficient approximations to scale-space representation (Lindeberg and Bretzner 2003; Crowley and Riff 2003; Lowe 2004).
==References==
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