Download Advances in Biometrics: International Conference, ICB 2006, by Kieron Messer, Josef Kittler, James Short, G. Heusch, Fabien PDF

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By Kieron Messer, Josef Kittler, James Short, G. Heusch, Fabien Cardinaux (auth.), David Zhang, Anil K. Jain (eds.)

This publication constitutes the refereed court cases of the foreign convention on Biometrics, ICB 2006, held in Hong Kong, China in January 2006.

The 104 revised complete papers provided have been rigorously reviewed and chosen from 192 submissions. Biometric standards coated by way of the papers are assigned to stand, fingerprint, iris, speech and signature, biometric fusion and function assessment, gait, keystrokes, and others. furthermore the result of the Face Authentication festival (FAC 2006) also are introduced during this volume.

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Additional resources for Advances in Biometrics: International Conference, ICB 2006, Hong Kong, China, January 5-7, 2006. Proceedings

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To evaluate our approach for assessing the quality of facial images with facial expressions, we use the Cohn-Kanade face database which includes 97 subjects with different facial expressions captured in video sequences. Each sequence starts with a neutral face expression and the expression’s intensity increases toward the end of the sequence. We split the database into two separate sets of equal sizes for the training and the testing. For training the classifiers, we need two sets of facial images.

The proposed active Near-IR illumination approach to face recognition is promising for face recognition. Further work will be the development of a more specific eye detection algorithm for Near-IR illuminated faces to improve the performance of automatic system. References 1. K. W. Bowyer, K. Chang, and P. Flynn. A survey of approaches to threedimensional face recognition. In Proceedings of International Conference on Pattern Recognition, 2004. 2. J. Dowdall, I. Pavlidis, and G. Bebis. Face detection in the near-ir spectrum.

2. shows the matching process. 30 B. Kim et al. Fig. 2. 4 3D Reconstruction Triangulation is the process of obtaining a real 3D position from two intersecting lines [5]. These lines are defined by the corresponding pairs and information from each calibration. After camera calibration, the triangulation method was used to obtain the 3D depth information. The triangulation method was solved with the SVD(Singular Value Decomposition) algorithm and 3D points were reconstructed [6]. 5 Experiments The system underwent an initializing step prior to inferring the 3D coordinates.

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