The field of biometrics utilizes computer models of the physical and behavioral characteristics of human beings with a view to reliable personal identification. The human characteristics of interest include visual images, speech, and indeed anything which might help to uniquely identify the individu
Image Pattern Recognition: Synthesis and Analysis in Biometrics
β Scribed by Svetlana N. Yanuschkevich, Patrick S. P. Wang, Marina L. Gavrilova, Sargur N. Srihari
- Year
- 2007
- Tongue
- English
- Leaves
- 453
- Series
- Series in Machine Perception & Artifical Intelligence
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
The field of biometrics utilizes computer models of the physical and behavioral characteristics of human beings with a view to reliable personal identification. The human characteristics of interest include visual images, speech, and indeed anything which might help to uniquely identify the individual. The other side of the biometrics coin is biometric synthesis rendering biometric phenomena from their corresponding computer models. For example, we could generate a synthetic face from its corresponding computer model. Such a model could include muscular dynamics to model the full gamut of human emotions conveyed by facial expressions. This book is a collection of carefully selected papers presenting the fundamental theory and practice of various aspects of biometric data processing in the context of pattern recognition. The traditional task of biometric technologies human identification by analysis of biometric data is extended to include the new discipline of biometric synthesis.
π SIMILAR VOLUMES
ΠΠ·Π΄Π°ΡΠ΅Π»ΡΡΡΠ²ΠΎ World Scientific, 2007, -453 pp.<div class="bb-sep"></div>Computer Vision and Computer Graphics can be thought of as opposite sides of the same coin. In computer graphics we start, for example, with a three-dimensional model of a face, and we attempt to render or project this model onto
<p>Medical imaging is one of the heaviest funded biomedical engineering research areas. The second edition of <i>Pattern Recognition and Signal Analysis in Medical Imaging</i> brings sharp focus to the development of integrated systems for use in the clinical sector, enabling both imaging and the au
This book constitutes the refereed proceedings of the 16th Iberoamerican Congress on Pattern Recognition, CIARP 2011, held in PucΓ³n, Chile, in November 2011. The 81 revised full papers presented together with 3 keynotes were carefully reviewed and selected from numerous submissions. Topics of intere
<p>Parts of this text were used for several years by students in a one~term underΒ graduate course in computer science. The students had to prepare projects in small groups (2~4 students).1 This book emphasizes practical experience with image processing. It offers a comprehensive study of β’ image pr