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Human Recognition in Unconstrained Environments

Using Computer Vision, Pattern Recognition and Machine Learning Methods for Biometrics

Gebonden Engels 2017 9780081007051
Verwachte levertijd ongeveer 9 werkdagen

Samenvatting

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

Specificaties

ISBN13:9780081007051
Taal:Engels
Bindwijze:Gebonden

Lezersrecensies

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Inhoudsopgave

<p>1. Iris Recognition on Mobile Devices Using Near-Infrared Images<br>2. Face recognition using dictionary learning and domain adaptation<br>3. Periocular Recognition in Non-ideal Images<br>4. Real Time 3D Face-Ear Recognition on Mobile Devices: New Scenarios for 3D Biometricks “in-the-Wild”<br>5. Fingerphoto Recognition in Outdoor Environment using Smartphones<br>6. Soft biometric labels in the wild. Case study on gender classification<br>7. Unconstrained data acquisition frameworks and protocols<br>8. Biometric Authentication to Access Controlled Areas through Eye Tracking<br>9. Non-cooperative biometrics: Cross-Jurisdictional concerns<br>10. Pattern Recognition and Machine Learning Methods for assessing the quality of fingerprints</p>

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        Human Recognition in Unconstrained Environments