Adaptive Biometric Systems by Ajita Rattani
This interdisciplinary volume presents a detailed overview of the latest advances and challenges remaining in the field of adaptive biometric systems. reviews systems for adaptive face recognition that perform self-updating of facial models using operational (unlabeled) data;-
NETLAB
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Multimodal Collaborative Perception for Unmanned Systems
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Advances in Photometric 3D-Reconstruction
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Active Lighting and Its Application for Computer Vision
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Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics
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Selfie Biometrics
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Handbook of Vascular Biometrics
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Natural User Interfaces in Medical Image Analysis
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Advanced Algorithmic Approaches to Medical Image Segmentation
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Markov Models for Pattern Recognition
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Statistical Learning and Pattern Analysis for Image and Video Processing
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An Introduction to Object Recognition
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Human Recognition at a Distance in Video
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Nonlinear Eigenproblems in Image Processing and Computer Vision
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Autonomous Intelligent Vehicles
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Similarity-Based Pattern Analysis and Recognition
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Hyperspectral Image Analysis
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Guide to OCR for Indic Scripts
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Automatic Digital Document Processing and Management
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Multispectral Satellite Image Understanding
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Guide to Three Dimensional Structure and Motion Factorization
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Machine Learning for Vision-Based Motion Analysis
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Handbook of Remote Biometrics
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Fusion in Computer Vision
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Compression Schemes for Mining Large Datasets
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Shape Perception in Human and Computer Vision
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Imaging Spectroscopy for Scene Analysis
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Visual Question Answering
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Tensors in Image Processing and Computer Vision
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Handbook of Biometric Anti-Spoofing
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Computer Vision Beyond the Visible Spectrum
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Image Registration
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Statistical and Neural Classifiers
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Contactless 3D Fingerprint Identification
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Hierarchical Perceptual Grouping for Object Recognition
Dr. Ajita Rattani is a post-doctoral fellow in the Integrated Pattern Recognition and Biometrics (i-PRoBe) lab at Michigan State University, East Lansing, MI, USA. Dr. Fabio Roli is a professor of computer engineering and the Director of the Pattern Recognition and Applications (PRA) lab at the University of Cagliari, Italy. Dr. Eric Granger is a professor in the Department of Automated Manufacturing Engineering and the Director of the Laboratory for Imagery, Vision and Artificial Intelligence at the �cole de technologie sup�rieure (�TS), Montr�al, QC, Canada.
| SKU | Unavailable |
| ISBN 13 | 9783319248639 |
| ISBN 10 | 3319248634 |
| Title | Adaptive Biometric Systems |
| Author | Ajita Rattani |
| Series | Advances In Computer Vision And Pattern Recognition |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Springer International Publishing AG |
| Year published | 2015-11-04 |
| Number of pages | 134 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |