Abstract
A generalization of the octree data structure for representing polyhedral objects is described. This data structure, called the polytree, is a cellular spatial decomposition of the object space into primitive cells containing edge and vertex intersection information. The increased complexity of primitive cells results in several advantages over octrees, while, at the same time, retaining most of the desirable features of the octree structure. A recursive subdivision algorithm for the creation of a polytree from a boundary representation is presented.
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© 1985 Springer-Verlag Tokyo
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Carlbom, I., Chakravarty, I., Vanderschel, D. (1985). A Hierarchical Data Structure for Representing the Spatial Decomposition of 3D Objects. In: Kunii, T.L. (eds) Frontiers in Computer Graphics. Springer, Tokyo. https://doi.org/10.1007/978-4-431-68025-3_1
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DOI: https://doi.org/10.1007/978-4-431-68025-3_1
Publisher Name: Springer, Tokyo
Print ISBN: 978-4-431-68027-7
Online ISBN: 978-4-431-68025-3
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