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This monograph describes the latest advances in discriminative
learning methods for biometric recognition. Specifically, it
focuses on three representative categories of methods: sparse
representation-based classification, metric learning, and
discriminative feature representation, together with their
applications in palmprint authentication, face recognition and
multi-biometrics. The ideas, algorithms, experimental evaluation
and underlying rationales are also provided for a better
understanding of these methods. Lastly, it discusses several
promising research directions in the field of discriminative
biometric recognition.
This book covers the key advances in computerized facial beauty
analysis, with an emphasis on data-driven research and the results
of quantitative experiments. It takes a big step toward practical
facial beauty analysis, proposes more reliable and stable facial
features for beauty analysis and designs new models, methods,
algorithms and schemes while implementing a facial beauty analysis
and beautification system. This book also tests some previous
putative rules and models for facial beauty analysis by using
computationally efficient mathematical models and algorithms,
especially large scale database-based and repeatable
experiments.The first section of this book provides an overview of
facial beauty analysis. The base of facial beauty analysis, i.e.,
facial beauty features, is presented in part two. Part three
describes hypotheses on facial beauty, while part four defines
data-driven facial beauty analysis models. This book concludes with
the authors explaining how to implement their new facial beauty
analysis system.This book is designed for researchers,
professionals and post graduate students working in the field of
facial beauty analysis, computer vision, human-machine interface,
pattern recognition and biometrics. Those involved in
interdisciplinary fields with also find the contents useful. The
ideas, means and conclusions for beauty analysis are valuable for
researchers and the system design and implementation can be used as
models for practitioners and engineers.
This monograph describes the latest advances in discriminative
learning methods for biometric recognition. Specifically, it
focuses on three representative categories of methods: sparse
representation-based classification, metric learning, and
discriminative feature representation, together with their
applications in palmprint authentication, face recognition and
multi-biometrics. The ideas, algorithms, experimental evaluation
and underlying rationales are also provided for a better
understanding of these methods. Lastly, it discusses several
promising research directions in the field of discriminative
biometric recognition.
This book covers the key advances in computerized facial beauty
analysis, with an emphasis on data-driven research and the results
of quantitative experiments. It takes a big step toward practical
facial beauty analysis, proposes more reliable and stable facial
features for beauty analysis and designs new models, methods,
algorithms and schemes while implementing a facial beauty analysis
and beautification system. This book also tests some previous
putative rules and models for facial beauty analysis by using
computationally efficient mathematical models and algorithms,
especially large scale database-based and repeatable
experiments.The first section of this book provides an overview of
facial beauty analysis. The base of facial beauty analysis, i.e.,
facial beauty features, is presented in part two. Part three
describes hypotheses on facial beauty, while part four defines
data-driven facial beauty analysis models. This book concludes with
the authors explaining how to implement their new facial beauty
analysis system.This book is designed for researchers,
professionals and post graduate students working in the field of
facial beauty analysis, computer vision, human-machine interface,
pattern recognition and biometrics. Those involved in
interdisciplinary fields with also find the contents useful. The
ideas, means and conclusions for beauty analysis are valuable for
researchers and the system design and implementation can be used as
models for practitioners and engineers.
The book aims to build a political theory of interest politics by
adopting an interest-analyzing approach of Marxism to explore the
dual characteristics of social interests. Based on the logical
start-point, the book unveils the foundations, nature, and
characteristics of social-political life such as political power
and political right. Then, a systematic research is conducted from
perspectives of political behavior, political system, and political
culture, following the two logical thread lines as political power
and right. Finally, the book sees the analysis of social and
political development in accordance with the inter-function of
political power and political rights caused by the changes and
development of social interests. It is a must-read book for readers
interested in the political theory and political development in
China.
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Biometric Recognition - 12th Chinese Conference, CCBR 2017, Shenzhen, China, October 28-29, 2017, Proceedings (Paperback, 1st ed. 2017)
Jie Zhou, Yunhong Wang, Zhenan Sun, Yong Xu, Linlin Shen, …
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R1,710
Discovery Miles 17 100
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Ships in 10 - 15 working days
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Recognition, CCBR 2017, held in Shenzhen, China, in October 2017.
The 15 full papers and 65 poster papers presented in this book were
carefully reviewed and selected from 138 submissions. The papers
are organized in topical sections on face; fingerprint, palm-print
and vascular biometrics; iris; gesture and gait; emerging
biometrics; voice and speech; video surveillance; feature
extraction and classification theory; behavioral biometrics.
Basierend auf der Zusammenarbeit zwischen Universitat und mehreren
Unternehmen, befasst sich dieses Buch mit den Methoden, die - bei
der Analyse, Planung, Entwicklung und Gestaltung der
Unternehmensorganisation, - bei der Einfuhrung der
betriebswirtschaftlichen Anwendungssoftware, - bei der
Konstruktion, Entwicklung solcher Anwendungssoftware sowie - bei
der Koordinierung der Softwareentwicklung verwendet werden. Durch
zahlreiche graphische und tabellarische Darstellungen wird
anschaulich beschrieben, wofur und wie ein verteiltes
Organisationsinformationssystem zu konstruieren und realisieren
ist. Das Buch ist eine wertvolle Hilfe vor allem fur Praktiker, die
sich mit der Organisationsanalyse/-gestaltung und der Einfuhrung
von Anwendungssoftware im Unternehmen beschaftigen."
With the increasing concerns on security breaches and transaction
fraud, highly reliable and convenient personal verification and
identification technologies are more and more requisite in our
social activities and national services. Biometrics, used to
recognize the identity of an individual, are gaining ever-growing
popularity in an extensive array of governmental, military,
forensic, and commercial security applications.""Advanced Biometric
Recognition Technologies: Discriminant Criterion and Fusion
Applications"" focuses on two kinds of advanced biometric
recognition technologies, biometric data discrimination and
multi-biometrics, while systematically introducing recent research
in developing effective biometric recognition technologies.
Organized into three main sections, this cutting-edge book explores
advanced biometric data discrimination technologies, describes
tensor-based biometric data discrimination technologies, and
develops the fundamental conception and categories of
multi-biometrics technologies.
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Discovery Miles 3 300
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