Face Recognition Across the Imaging Spectrum 2016

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Opis: Face Recognition Across the Imaging Spectrum 2016

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 David W. Allen Collection of Multi-Spectral Biometric Data for Cross-Spectral Identification Applications Jeremy M. Dawson, Seth C. Leffel, Cameron Whitelam, and Thirimachos Bourlai Hyperspectral Face Databases for Facial Recognition Research Woon Cho, Andreas Koschan, and Mongi A. Abidi MWIR-to-Visible and LWIR-to-Visible Face Recognition Using Partial Least Squares and Dictionary Learning Shuowen Hu, Nathaniel J. Short, Prudhvi K. Gurram, Kristan P. Gurton, and Christopher Reale Local Operators and Measures for Heterogeneous Face Recognition Zhicheng Cao, Natalia A. Schmid, and Thirimachos Bourlai Assessment of Facial Recognition System Performance in Realistic Operating Environments Kevin R. Leonard Understanding Thermal Face Detection: Challenges and Evaluation Janhavi Agrawal, Aishwarya Pant, Tejas I. Dhamecha, Richa Singh, and Mayank Vatsa Face Recognition Systems under Spoofing Attacks Ivana Chingovska, Nesli Erdogmus, Andre Anjos, and Sebastien Marcel On the Effects of Image Alterations on Face Recognition Accuracy Matteo Ferrara, Annalisa Franco, and Davide Maltoni Document to Live Facial Identification Antwan D. Clark, Cameron Whitelam, and Thirimachos Bourlai Face Recognition in Challenging Environments: An Experimental and Reproducible Research Survey Manuel Gunther, Laurent El Shafey, and Sebastien Marcel Face Recognition with RGB-D Images Using Kinect Gaurav Goswami, Mayank Vatsa, and Richa Singh Blending 2D and 3D Face Recognition Massimo Tistarelli, Marinella Cadoni, Andrea Lagorio, and Enrico Grosso Exploiting Score Distributions for Biometric Applications Panagiotis Moutafis and Ioannis A. Kakadiaris Multispectral Ocular Biometrics Simona G. Crihalmeanu and Arun A. Ross


Szczegóły: Face Recognition Across the Imaging Spectrum 2016

Tytuł: Face Recognition Across the Imaging Spectrum 2016
Wydawnictwo: Springer Verlag
ISBN: 9783319284996
Rok wydania: 2016
Ilość stron: 383
Oprawa: Twarda
Waga: 0.75 kg


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Książka

Face Recognition Across the Imaging Spectrum 2016

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 David W. Allen Collection of Multi-Spectral Biometric Data for Cross-Spectral Identification Applications Jeremy M. Dawson, Seth C. Leffel, Cameron Whitelam, and Thirimachos Bourlai Hyperspectral Face Databases for Facial Recognition Research Woon Cho, Andreas Koschan, and Mongi A. Abidi MWIR-to-Visible and LWIR-to-Visible Face Recognition Using Partial Least Squares and Dictionary Learning Shuowen Hu, Nathaniel J. Short, Prudhvi K. Gurram, Kristan P. Gurton, and Christopher Reale Local Operators and Measures for Heterogeneous Face Recognition Zhicheng Cao, Natalia A. Schmid, and Thirimachos Bourlai Assessment of Facial Recognition System Performance in Realistic Operating Environments Kevin R. Leonard Understanding Thermal Face Detection: Challenges and Evaluation Janhavi Agrawal, Aishwarya Pant, Tejas I. Dhamecha, Richa Singh, and Mayank Vatsa Face Recognition Systems under Spoofing Attacks Ivana Chingovska, Nesli Erdogmus, Andre Anjos, and Sebastien Marcel On the Effects of Image Alterations on Face Recognition Accuracy Matteo Ferrara, Annalisa Franco, and Davide Maltoni Document to Live Facial Identification Antwan D. Clark, Cameron Whitelam, and Thirimachos Bourlai Face Recognition in Challenging Environments: An Experimental and Reproducible Research Survey Manuel Gunther, Laurent El Shafey, and Sebastien Marcel Face Recognition with RGB-D Images Using Kinect Gaurav Goswami, Mayank Vatsa, and Richa Singh Blending 2D and 3D Face Recognition Massimo Tistarelli, Marinella Cadoni, Andrea Lagorio, and Enrico Grosso Exploiting Score Distributions for Biometric Applications Panagiotis Moutafis and Ioannis A. Kakadiaris Multispectral Ocular Biometrics Simona G. Crihalmeanu and Arun A. Ross

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Cena 437,00 PLN
Nasza cena 408,60 PLN
Oszczędzasz 6%
Wysyłka: Niedostępna
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Szczegóły: Face Recognition Across the Imaging Spectrum 2016

Tytuł: Face Recognition Across the Imaging Spectrum 2016
Wydawnictwo: Springer Verlag
ISBN: 9783319284996
Rok wydania: 2016
Ilość stron: 383
Oprawa: Twarda
Waga: 0.75 kg


Recenzje: Face Recognition Across the Imaging Spectrum 2016

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