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Human Recognition in Unconstrained Environments
- Using Computer Vision, Pattern Recognition and Machine Learning Methods for Biometrics
Engelsk Hardback
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Human Recognition in Unconstrained Environments
- Using Computer Vision, Pattern Recognition and Machine Learning Methods for Biometrics
Engelsk Hardback

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Om denne bog
Human Recognition in Unconstrained Environments 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 fundamentals Background subtraction of humans in outdoor scenes Camera synchronization Biometric traits: Real-time detection and data segmentation Biometric traits: Feature encoding / matching Fusion at different levels Reaction against security incidents Ethical 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 security Choose the most suited biometric traits and recognition methods for uncontrolled settings Evaluate the performance of a biometric system on real world data
Product detaljer
Sprog:
Engelsk
Sider:
248
ISBN-13:
9780081007051
Indbinding:
Hardback
Udgave:
ISBN-10:
0081007051
Udg. Dato:
13 jan 2017
Længde:
19mm
Bredde:
256mm
Højde:
212mm
Forlag:
Elsevier Science & Technology
Oplagsdato:
13 jan 2017
Forfatter(e):
Kategori sammenhænge