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Quadtree traversal algorithms for pointer-based and depth-first representations

Daniel R. Fuhrmann

Open publisher page 24 citations

Abstract

Simple top-down pointer-based quadtree traversal algorithms for four-neighbor traversal, eight-neighbor traversal, and connected-component labeling are proposed. It is shown that for this class of algorithms there exist efficient pointer-based representations that can require as little as 2N bytes, where N is total number of nodes in the tree. The algorithms can also be implemented using a depth-first quadtree representation, at the cost of additional nonrecursive walks over the data structure to locate the arbitrary sons of interior nodes.>

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What this paper is about

Simple top-down pointer-based quadtree traversal algorithms for four-neighbor traversal, eight-neighbor traversal, and connected-component labeling are proposed. It is shown that for this class of algorithms there exist efficient pointer-based representations that can require as little as 2N bytes, where N is total number of nodes in the tree. The algorithms can also be implemented using a depth-first quadtree representation, at the cost of additional nonrecursive walks over the data structure to locate the arbitrary sons of interior nodes.>

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OpenAlex reports 24 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Simple top-down pointer-based quadtree traversal algorithms for four-neighbor traversal, eight-neighbor traversal, and connected-component labeling are proposed. It is shown that for this class of algorithms there exist efficient pointer-based representations that can require as little as 2N bytes, where N is total number of nodes in the tree. The algorithms can also be implemented using a depth-first quadtree representation, at the cost of additional nonrecursive walks over the data structure to locate the arbitrary sons of interior nodes.>

Key concepts: Tree traversal, Quadtree, Pointer (user interface), Computer science, Algorithm, Byte, Representation (politics), Binary tree

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