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Construction of a MultiModal Database for Person Authentication under
Robust Eye Detection under Near Infrared Illumination
Feature Extraction for Face Recognition
Face Recognition from Videos
Conclusion and Outlook
95 features AdaBoost algorithm AdaBoosted DCT appearance model block blockwise DCT bright pupil effect camera captured Cascaded CorrAdaBoosted DCT Chapter circle matching classiﬁcation methods condensation algorithm conﬁguration correlation DCT 126 features DCT coefﬁcients DCT features deﬁned discrete cosine transform distance measures dot product equation Euclidean distance Euler number exemplars experiment eye veriﬁcation face images face recognition face recognition system feature extraction feature vector features selected FERET database Figure ﬁnd ﬁrst gallery image identiﬁcation infrared infrared illumination Linear Discriminant Analysis Manhattan distance matrix Medium Medium Medium Medium Medium multi-modal nearest center classiﬁer nearest neighbor classiﬁer normalized number of features outperforms parameter person authentication pixel pose posterior probability probabilistic voting probe image probe set pupil candidates recognition rate signiﬁcant speciﬁc strong classiﬁer Support Vector Machine symmetry transform Table temporal integration test set thresholding training samples training set video sequences video-based face recognition viseme weak classiﬁer