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Item Details
| Title:
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HUMAN RECOGNITION IN UNCONSTRAINED ENVIRONMENTS
USING COMPUTER VISION, PATTERN RECOGNITION AND MACHINE LEARNING METHODS FOR BIOMETRICS |
| By: |
Maria de Marsico (Editor), Michele Nappi (Editor), Hugo Proenca (Editor) |
| Format: |
Hardback |
| List price:
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£100.00 |
| Our price: |
£100.00 |
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| ISBN 10: |
0081007051 |
| ISBN 13: |
9780081007051 |
| Availability: |
Usually dispatched within 3-5 days.
 Delivery
rates
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| Stock: |
Currently 1item in stock |
| Publisher: |
ELSEVIER SCIENCE & TECHNOLOGY |
| Pub. date: |
13 January, 2017 |
| Pages: |
248 |
| Synopsis: |
This book provides a unique picture of the complete `in-the-wild' biometric recognition processing chain; from data acquisition through to detection, segmentation, encoding, and matching reactions against security incidents. Coverage includes: Data hardware architecture fundamentalsBackground subtraction of humans in outdoor scenes Camera synchronizationBiometric traits: Real-time detection and data segmentationBiometric traits: Feature encoding / matching Fusion at different levelsReaction against security incidentsEthical issues in non-cooperative biometric recognition in public spaces With this book readers will learn how to: Use computer vision, pattern recognition and machine learning methods for biometric recognition in real-world, real-time settings, especially those related to forensics and securityChoose the most suited biometric traits and recognition methods for uncontrolled settingsEvaluate the performance of a biometric system on real world data |
| Publication: |
UK |
| Imprint: |
Academic Press Inc.(London) Ltd |
| Returns: |
Non-returnable |
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