Cantitate/Preț
Produs
Total produse
Vezi coșul
Face Recognition Across the Imaging Spectrum de Thirimachos Bourlai

Face Recognition Across the Imaging Spectrum

Editat de Thirimachos Bourlai
en Limba Engleză Paperback – 21 mar 2019
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.
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (1) 62527 lei  6-8 săpt.
  Springer International Publishing – 21 mar 2019 62527 lei  6-8 săpt.
Hardback (2) 63146 lei  6-8 săpt.
  Springer International Publishing – 25 feb 2016 63146 lei  6-8 săpt.
  Springer Nature Singapore – 25 sep 2024 90395 lei  6-8 săpt.

Preț: 62527 lei

Preț vechi: 78160 lei
-20% Nou

Puncte Express: 938
Preț estimativ în valută:
11067€ • 12901$ • 9679£

Carte tipărită la comandă

Livrare economică 20 ianuarie-03 februarie 26

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă
Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783319803654
ISBN-10: 3319803654
Pagini: 383
Ilustrații: XII, 383 p. 196 illus., 34 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.55 kg
Ediția:Softcover reprint of the original 1st ed. 2016
Editura: Springer International Publishing
Colecția Springer
Locul publicării:Cham, Switzerland

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

Notă biografică

Dr. ThirimachosBourlai is an Associate Professor at the School of Electrical and Computer Engineering, University of Georgia. In addition to his academic role, he holds a Joint Appointment with the Savannah River National Labs. Dr. Bourlai serves as an adjunct faculty at West Virginia University (WVU) in the Lane Department of Computer Science and Engineering, as well as in the School of Medicine.He is the founder and director of the Multi-Spectral Imagery Lab and holds significant editorial roles. Dr. Bourlai is a Series Editor for Advanced Sciences and Technologies for Security Applications, an Associate Editor for the Elsevier Pattern Recognition Journal, and the IET Electronics Letters Journal.In the realm of organizational leadership, he is a member of the Board of Directors at the Document Security Alliance, the former VP on Education of the IEEE Biometrics Council, and a member of the Academic Research and Innovation Expert Group of the Biometrics Institute.Dr. Bourlai's substantial research contributions are evident in his authorship of four notable books with Springer, including "Face Recognition Across the Imaging Spectrum" (2016), "Surveillance in Action" (2018), "Securing Social Identity in Mobile Platforms" (2020), and "Disease Control through Social Network Surveillance" (2022). Complementing his innovative work are three patents and a prolific publication record, encompassing over 140 contributions to journals, conferences, book chapters, and magazines in the domains of computer vision, biometrics, and related fields.