NIST

quadtree complexity theorem

(definition)

Definition: The number of nodes in a quadtree region representation for a simple polygon (i.e. with nonintersecting edges and without holes) is O(p+q) for a 2q× 2q image with perimeter p measured in pixel widths. In most cases, q is negligible, and thus, the number of nodes is proportional to the perimeter. It also holds for three-dimensional data where the perimeter is replaced by surface area, and in general for d-dimensions where instead of perimeter we have the size of the (d-1)-dimensional interfaces between the d-dimensional objects.

Note: From Algorithms and Theory of Computation Handbook, page 18-24, Copyright © 1999 by CRC Press LLC. Appearing in the Dictionary of Computer Science, Engineering and Technology, Copyright © 2000 CRC Press LLC.

Author: CRC-A


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Entry modified Fri Dec 17 12:06:55 2004.
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Cite this as:
Algorithms and Theory of Computation Handbook, CRC Press LLC, 1999, "quadtree complexity theorem", from Dictionary of Algorithms and Data Structures, Paul E. Black, ed., NIST.
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