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Issue No.08 - August (1999 vol.21)
pp: 673-689
ABSTRACT
<p><b>Abstract</b>—We quantify the observation by Kender and Freudenstein [<ref type="bib" rid="bibI067324">24</ref>] that degenerate views occupy a significant fraction of the viewing sphere surrounding an object. For a perspective camera geometry, we introduce a computational model that can be used to estimate the probability that a view degeneracy will occur in a random view of a polyhedral object. For a typical recognition system parameterization, view degeneracies typically occur with probabilities of 20 percent and, depending on the parameterization, as high as 50 percent. We discuss the impact of view degeneracy on the problem of object recognition and, for a particular recognition framework, relate the cost of object disambiguation to the probability of view degeneracy. To reduce this cost, we incorporate our model of view degeneracy in an active focal length control paradigm that balances the probability of view degeneracy with the camera field of view. In order to validate both our view degeneracy model as well as our active focal length control model, a set of experiments are reported using a real recognition system operating on real images.</p>
INDEX TERMS
View Degeneracy, aspect graphs, object recognition.
CITATION
Sven J. Dickinson, David Wilkes, John K. Tsotsos, "A Computational Model of View Degeneracy", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol.21, no. 8, pp. 673-689, August 1999, doi:10.1109/34.784283
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