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Abstract:
This paper describes a new approach to extracting 3D
perspective structure from 2D point-sets. The novel feature is to
unify the tasks of estimating transformation geometry and
identifying point-correspondence matches. Unification is realised
by constructing a mixture model over the bi-partite graph
representing the correspondence match and by effecting optimisation
using the EM algorithm. According to our EM framework the
probabilities of structural correspondence gate contributions to
the expected likelihood function used to estimate maximum
likelihood perspective pose parameters. This provides a means of
rejecting structural outliers. We evaluate the technique on the
matching of different perspective views of 3.5in floppy discs. We
provide a sensitivity study based on synthetic data.
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