Title :
A new strategy for octree representation of three-dimensional objects
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA
Abstract :
Concepts developed previously are extended to identify the three-dimensional topologies which can be hierarchically aggregated (tessellated) to yield an octree data structure. The hypercellular structures, composed of arbitrary triangle wedges and parallelopipeds as basic cells, have been shown to represent such data structures. The average computational complexities for all these different (tessellation scheme) are comparable. Based on the experimental data it is concluded that a wide repertoire of three-dimensional physical objects can be represented as octrees
Keywords :
pattern recognition; trees (mathematics); hypercellular structures; octree data structure; octree representation; parallelopipeds; pattern recognition; three-dimensional objects; triangle wedges; Application software; Buildings; Computer science; Data structures; Lattices; Shape; Solids; Topology; Tree data structures; Very large scale integration;
Conference_Titel :
Computer Vision and Pattern Recognition, 1988. Proceedings CVPR '88., Computer Society Conference on
Conference_Location :
Ann Arbor, MI
Print_ISBN :
0-8186-0862-5
DOI :
10.1109/CVPR.1988.196247