Titlebook: Advances in Biometrics; International Confer David Zhang,Anil K. Jain Conference proceedings 2005 Springer-Verlag GmbH Germany, part of Spr

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Iselin Frydenlund,Michael Jerrysonscale applications. We conducted an experiment in order to estimate percentage of Norwegian people having one or more look-alikes in Norwegian population. The results indicate that the face recognition technology may not be adequate for identity verification in large scale applications. To survey th

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Rohan Bastin,Premakumara de Silva local sub-windows is computed to evaluate differences of two ordinal faces. AdaBoost learning is finally applied to select most effective hamming distance based weak classifiers and build a powerful classifier. Experiments demonstrate good results for face recognition on the FERET database, and the

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https://doi.org/10.1057/9780230373280malized 3D data, then the discriminant common vector (DCV) is introduced for 3D face recognition. We also compare DCV with two common methods, i.e., principal component analysis (PCA) and linear discriminant analysis (LDA). Our experiments are based on the CASIA 3D Face Database, a challenging datab

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Die Budgetartikel der Reichsverfassung, on the facial geometry. We estimate the 3D head pose using the proposed error compensated SVD method. For face recognition method, we define and extract facial shape indexes based on facial curvature characteristics and perform dynamic programming. Experimental results show that the proposed method