Deze website maakt gebruik van cookies. Klik hier voor meer informatie.X sluit
Uitgebreid zoeken

Human Recognition in Unconstrained Environments

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

Human Recognition in Unconstrained Environments - ISBN: 9780081007051
Prijs: € 126,00
Levertijd: 3 tot 4 werkdagen
Bindwijze: Boek, Gebonden (13-01-2017)
Genre: Communicatiekunde
Add to cart


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

  • Presents a complete picture of the biometric recognition processing chain, ranging from data acquisition to the reaction procedures against security incidents
  • Provides specific requirements and issues behind each typical phase of the development of a robust biometric recognition system
  • Includes a contextualization of the ethical/privacy issues behind the development of a covert recognition system which can be used for forensics and security activities


Titel: Human Recognition in Unconstrained Environments
Mediatype: Boek
Bindwijze: Gebonden
Taal: Engels
Aantal pagina's: 248
Uitgever: Elsevier Science
Plaats van publicatie: 03
Publicatiedatum: 2017-01-13
NUR: Communicatiekunde
Afmetingen: 235 x 191
ISBN/ISBN13: 9780081007051
Intern nummer: 35588815

Biografie (woord)

Hugo Proena B.Sc. (2001), M.Sc. (2004), Ph.D. (2007) and Habilitation (Agregado, 2016) is an Associate Professor and the current Head of the Department (2015-2017) of Computer Science, University of Beira Interior. He has been researching mainly about biometrics and visual-surveillance, particularly in developing human recognition solutions able to work in degraded data, resulting from unconstrained data acquisition protocols. He is an associate editor of the Image and Vision Computing Journal, the coordinating editor of the IEEE Biometrics Council Newsletter and the area editor (ocular biometrics) of the IEEE Biometrics Compendium Journal. Also, he is a member of the Editorial Board of the International Journal of Biometrics and served as Guest Editor of special issues of the Pattern Recognition Letters, Image and Vision Computing and Signal, Image and Video Processing journals.

Extra informatie

Learn to use computer vision, pattern recognition, and machine learning methods for biometrics in this discussion of the biometric recognition processing chain


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


Dit product is op dit moment niet op voorraad in een van onze vestigingen.