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Face Recognition Across the Imaging Spectrum

Editat de Thirimachos Bourlai
en Limba Engleză Hardback – 25 feb 2016
This authoritative text/reference presents acomprehensive review of algorithms and techniques for face recognition (FR),with an emphasis on systems that can be reliably used in operationalenvironments. Insights are provided by an international team of pre-eminentexperts into the processing of multispectral and hyperspectral face imagescaptured under uncontrolled environments. These discussions cover a variety ofimaging sensors ranging from state-of-the-art visible and infrared imagingsensors, to RGB-D and mobile phone image sensors. A range of differentbiometric modalities are also examined, including face, periocular and iris. Thistimely volume is a mine of useful information for researchers, practitionersand students involved in image processing, computer vision, biometrics andsecurity.
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Specificații

ISBN-13: 9783319284996
ISBN-10: 3319284991
Pagini: 371
Ilustrații: XII, 383 p. 196 illus., 34 illus. in color.
Dimensiuni: 155 x 235 x 27 mm
Greutate: 0.73 kg
Ediția:1st ed. 2016
Editura: Springer International Publishing
Colecția Springer
Locul publicării:Cham, Switzerland

Public țintă

Research

Cuprins

An Overview of Spectral Imaging of Human Skin toward Face Recognition.- Collection of Multi-Spectral Biometric Data for Cross-Spectral Identification Applications.- Hyperspectral Face Databases for Facial Recognition Research.- MWIR-to-Visible and LWIR-to-Visible Face Recognition Using Partial Least Squares and Dictionary Learning.- Local Operators and Measures for Heterogeneous Face Recognition.- Assessment of Facial Recognition System Performance in Realistic Operating Environments.- Understanding Thermal Face Detection: Challenges and Evaluation.- Face Recognition Systems under Spoofing Attacks.- for Biometric Applications.- Multispectral Ocular Biometrics.

Textul de pe ultima copertă

This authoritative text/reference presents acomprehensive review of algorithms and techniques for face recognition (FR),with an emphasis on systems that can be reliably used in operationalenvironments. Insights are provided by an international team of pre-eminentexperts into the processing of multispectral and hyperspectral face imagescaptured under uncontrolled environments. These discussions cover a variety ofimaging sensors ranging from state-of-the-art visible and infrared imagingsensors, to RGB-D and mobile phone image sensors. A range of differentbiometric modalities are also examined, including face, periocular and iris.
Topics andfeatures:

  • Presents a detailed introduction to the spectralimaging of human skin, and describes the data collection of multispectral andhyperspectral face images
  • Covers a range of face-based identificationtechnologies addressing challenges in the processing of face images in visibleand infrared spectral bands
  • Provides an overview of spoofing attacks and counter-measuresfor FR systems, and analyzes the effects of digital image alterations on FRalgorithms
  • Investigates the processing of degraded facephotographs from ID documents, and examines mobile FR in still images and videosequences
  • Proposes a state-of-the-art RGB-D FR algorithm, and suggestsalgorithms for 3D-based FR as well as techniques blending 2D and 3D data
  • Discusses score normalization methods, and exploresthe use of patterns in the sclera in order to improve the robustness of irisrecognition systems
This timely volume is a mine of useful information forresearchers, practitioners and students involved in image processing, computervision, biometrics and security.

Dr. Thirimachos Bourlai is an AssistantProfessor in the Lane Department of Computer Science and Electrical Engineeringat West Virginia University, Morgantown, WV, USA.


Caracteristici

Reviews the major operational problems and current solutions in the area of human identification Presents a specific focus on face biometrics using sensors that cover the electromagnetic spectrum more broadly than visible-band cameras Demonstrates how multi-spectral facial recognition technology can be used in a real-world setting Includes supplementary material: sn.pub/extras