Face authentication with sparse grid Gabor information
- 22 November 2002
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 4, 3053-3056 vol.4
- https://doi.org/10.1109/icassp.1997.595436
Abstract
This paper investigates the application of statistical pattern recognition methods in the framework of the dynamic link matching approach. This method describes objects by means of local frequency information on nodes of a sparse grid. Matching of an input image with a reference is achieved by displacement and deformation of the grid. This method is applied here to the authentication of human faces in a cooperative scenario where candidates claim an identity that is to be checked. The matching error is not powerful enough to provide satisfying results in this case. We introduce an automatic weighting of the nodes according to their significance. Results show that for regular grids, this weighting leads to a significant improvement of the performance.Keywords
This publication has 9 references indexed in Scilit:
- Feature extraction from faces using deformable templatesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- The M2VTS multimodal face database (Release 1.00)Published by Springer Nature ,1997
- Person authentication by fusing face and speech informationPublished by Springer Nature ,1997
- Person identification using multiple cuesIEEE Transactions on Pattern Analysis and Machine Intelligence, 1995
- Human and machine recognition of faces: a surveyProceedings of the IEEE, 1995
- N-folded symmetries by complex moments in Gabor space and their application to unsupervised texture segmentationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1994
- Distortion invariant object recognition in the dynamic link architectureIEEE Transactions on Computers, 1993
- Face recognition: features versus templatesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1993
- Eigenfaces for RecognitionJournal of Cognitive Neuroscience, 1991