Conference Proceedings
Optimised Landmark Model Matching for face recognition
R Senaratne, S Halgamuge
Fgr 2006 Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition | IEEE COMPUTER SOC | Published : 2006
DOI: 10.1109/FGR.2006.85
Abstract
A new method for face recognition, Landmark Model Matching, is proposed in this paper. It is based on the concepts of Elastic Bunch Graph Matching and Active Shape Model, and optimised with Particle Swarm Optimisation. It is a fully automatic algorithm and can be used for face databases where only one image per person is available. A face is represented by a Landmark Model consisting of nodes labelled with jets and gray-level profiles. A Landmark Distribution Model is created from a few training images. The model similarity between the Landmark Distribution Model and the deformable Landmark Model that has to be fitted to the face in the image is maximised by Particle Swarm Optimisation, to f..
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Funding Acknowledgements
Portions of the research in this paper use the Color FERET database of facial images collected under the FERET program. This project is partially funded by the Australian Research Council.