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Distinctive Descriptions for Face Processing

Darryl Hond and Libor Spacek
Department of Computer Science
University of Essex


Face recognition requires sufficiently accurate measurement. This can be achieved by transforming faces to a normalised form prior to description. This method uses template matching to yield parameters for normalisation. Matching is based on the combined output of four whole face templates, each utilising a different descriptor. Recognition is performed by matching a normalised test face to normalised training faces. The matching employs descriptions based on local statistical analysis of the orientation of the gradient vector. Orientation histograms are produced for small sub-images. Recognition can be enhanced if a subset of sub-images are used. The scheme has been applied to a database of faces in the public domain.

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Hond D A
Fri Jul 11 14:14:48 BST 1997