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

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

ISBN-10: 3540311114

ISBN-13: 9783540311119

This publication constitutes the refereed complaints of the overseas 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 lined by means of the papers are assigned to stand, fingerprint, iris, speech and signature, biometric fusion and function evaluate, gait, keystrokes, and others. additionally 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

Example text

On the other hand, the MCInt measures the performances on different categories of images that include images with different effects such as changes in illumination, and pose variations. In the literature, few researchers have addressed the performance of face recognition systems with lower quality images [3]. In [4], Draper et al. built two statistical models to examine how features of the human face could influence the performance of three different face recognition algorithms: principle components analysis (PCA), an interpersonal image difference classifier (IIDC), and an elastic bunch graph matching (EBGM) algorithm.

3. H. J. P. Hung and SC. : Use of chromatic information in regionbased stereo. Proc. IPPR Conference on Computer Vision, Graphics, and Image Processing, Nantou, Taiwan, (1993) 236-243 4. C. Chen, Y. Hung, C. Chiang, and J. : Range data acquisition using color structured lighting and stereo vision. Image and Vision Computing, Mar. (1997) 445-456 5. : Introductory Techniques for 3-D Computer Vision, Prentice Hall (1998) 6. R. Hartley and A. : Multiple view Geometry in computer vision, Cambridge University Press (2000) 7.

Although the stereo camera, a kind of passive sensing technique, infers 3D information from multiple images, the human face has an unlimited number of features. Because of this, it is difficult to use dense reconstruction with human faces. Therefore, passive sensing is not an adequate choice for 3D face data acquisition. On the other hand, active sensing projects a special pattern onto the subject and reconstructs shapes from reflected pattern imaging with a CCD camera. Because active sensing is better at matching ambiguity and also provides dense feature points, it can act as an appropriate 3D face-sensing device.

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