The University of Manchester

Gareth Edwards

Timothy Francis Cootes

Christopher John Taylor

Nicholas P Costen

A method of identifying an object class uses a model based upon appearance parameters derived by comparing images of objects of different classes. The model includes a representation of a probability density function describing a range over which appearance parameters may vary for a given class of object, the model further including a defined relationship between the appearance parameters and the probability density function. The method generates appearance parameters representative of an unknown object, estimates an appropriate probability density function for the unknown object using the defined relationship between the appearance parameters and the probability density function, then iteratively modifies at least some of the appearance parameters within limits determined using the probability density function to identify the object class.

Object class identification, verification of object image synthesis

A method of determining face sub-spaces includes making initial estimates of the sub-spaces, for example lighting, pose, identity and expression, using Principle Component Analysis on appropriate groups of faces. An iterative algorithm is applied to image codings to maximize the probability of coding across these non-orthogonal sub-spaces, obtaining the projection on each sub-space, and recalculating the spaces.

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Derbyshire, United Kingdom

Gareth Edwards