Abstract
A potential disadvantage of using aspect graphs as object models in a computer vision system is their large size. The upper bound on the number of nodes in the aspect graph of an N-face convex object is O(N⋆⋆3). In this paper we introduce the concepts of "aspect-equivalence" and "cell-equivalence" and present a method of using them to restructure a data base of aspect graphs. This process identifies an interconnected set of equivalence classes which we use to form an Equivalence Class Graph (ECG).
This work is supported by the Air Force Office of Scientific Research under Grant AFOSR-87-0316.
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© 1988 Springer-Verlag Berlin Heidelberg
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Stewman, J., Stark, L., Bowyer, K. (1988). Restructuring aspect graphs into aspect- and cell-equivalence classes for use in computer vision. In: Göttler, H., Schneider, HJ. (eds) Graph-Theoretic Concepts in Computer Science. WG 1987. Lecture Notes in Computer Science, vol 314. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-19422-3_18
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DOI: https://doi.org/10.1007/3-540-19422-3_18
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