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Face Recognition Across the Imaging Spectrum Softcover Reprint of the Original 1st 2016 ed. [Pehme köide]

  • Formaat: Paperback / softback, 383 pages, kõrgus x laius: 235x155 mm, kaal: 605 g, 34 Illustrations, color; 162 Illustrations, black and white; XII, 383 p. 196 illus., 34 illus. in color., 1 Paperback / softback
  • Ilmumisaeg: 21-Mar-2019
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3319803654
  • ISBN-13: 9783319803654
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  • Pehme köide
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  • Formaat: Paperback / softback, 383 pages, kõrgus x laius: 235x155 mm, kaal: 605 g, 34 Illustrations, color; 162 Illustrations, black and white; XII, 383 p. 196 illus., 34 illus. in color., 1 Paperback / softback
  • Ilmumisaeg: 21-Mar-2019
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3319803654
  • ISBN-13: 9783319803654
Teised raamatud teemal:
This authoritative text/reference presents a comprehensive review of algorithms and techniques for face recognition (FR), with an emphasis on systems that can be reliably used in operational environments. Insights are provided by an international team of pre-eminent experts into the processing of multispectral and hyperspectral face images captured under uncontrolled environments. These discussions cover a variety of imaging sensors ranging from state-of-the-art visible and infrared imaging sensors, to RGB-D and mobile phone image sensors. A range of different biometric modalities are also examined, including face, periocular and iris. This timely volume is a mine of useful information for researchers, practitioners and students involved in image processing, computer vision, biometrics and security.
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.