Contour Organisation with the EM Algorithm

This paper describes how the early visual process of contour organ(cid: 173) isation can be realised using the EM algorithm. The underlying computational representation is based on fine spline coverings. Ac(cid: 173) cording to our EM approach the adjustment of spline parameters draws on an iterative weighted least-squares fitting process. The expectation step of our EM procedure computes the likelihood of the data using a mixture model defined over the set of spline cover(cid: 173) ings. These splines are limited in their spatial extent using Gaus(cid: 173) sian windowing functions. The maximisation of the likelihood leads to a set of linear equations in the spline parameters which solve the weighted least squares problem. We evaluate the technique on the localisation of road structures in aerial infra-red images.

Authors

• José Leite
• Edwin Hancock Department of Computer Science, University of York, York, United Kingdom

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