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Zuverlässige Gesichtserkenn ungsmethoden: Systemdesign, Implementierun g und Bewertung
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eBay-Artikelnr.:167216014114
Artikelmerkmale
- Artikelzustand
- ISBN
- 9780387223728
Über dieses Produkt
Product Identifiers
Publisher
Springer
ISBN-10
038722372X
ISBN-13
9780387223728
eBay Product ID (ePID)
21038304353
Product Key Features
Number of Pages
Xiii, 329 Pages
Language
English
Publication Name
Reliable Face Recognition Methods : System Design, Implementation and Evaluation
Publication Year
2006
Subject
Security / Cryptography, Cognitive Psychology & Cognition, Databases / General, Computer Vision & Pattern Recognition
Type
Textbook
Subject Area
Computers, Psychology
Format
Hardcover
Dimensions
Item Height
0.4 in
Item Weight
51.1 Oz
Item Length
9.3 in
Item Width
6.1 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
2006-932031
Dewey Edition
22
Number of Volumes
1 vol.
Illustrated
Yes
Dewey Decimal
006.37
Table Of Content
The Human Face.- Modeling and Prediction.- Data Collection.- Face Representation.- Face Recognition.- Face in a Crowd.- 3D.- Data Fusion.- Denial and Deception.- Augmented Cognition.- Performance Evaluation.- Error Analysis.- Security and Privacy.- e-Science and Computing.- Epilogue.
Synopsis
One of the grand challenges for computational intelligence and biometrics is to understand how people process and recognize faces and to develop automated and reliable face recognition systems. Biometrics has become the major component in the complex decision making process associated with security applications. The many challenges addressed for face detection and authentication include cluttered environments, occlusion and disguise, temporal changes, and last but not least, robust training and open set testing. Reliable Face Recognition Methods seeks to comprehensively address the face recognition problem while drawing inspiration and gaining new insights from complementary fields of endeavor such as neurosciences, statistics, signal and image processing, computer vision, and machine learning and data mining. The book examines the evolution of research surrounding the field to date, explores new directions, and offers specific guidance on the most promising venues for future R&D. With its well-focused approach and clarity of presentation, this new text/reference is an excellent resource for computer scientists and engineers, researchers, and professionals who need to learn about face recognition. In addition, the book is ideally suited to students studying biometrics, pattern recognition, and human-computer interaction., One of the challenges for computational intelligence and biometrics is to understand how people process and recognize faces and to develop automated and reliable face recognition systems. Biometrics has become the major component in the complex decision making process associated with security applications. The many challenges addressed for face detection and authentication include cluttered environments, occlusion and disguise, temporal changes, robust training and open set testing.Reliable Face Recognition Methods seeks to comprehensively address the face recognition problem while gaining new insights from complementary fields of endeavor such as neurosciences, statistics, signal and image processing, computer vision, machine learning and data mining. This book examines the evolution of research surrounding the field to date, explores new directions, and offers specific guidance on the most promising venues for future research and development., One of the challenges for computational intelligence and biometrics is to understand how people process and recognize faces and to develop automated and reliable face recognition systems. Biometrics has become the major component in the complex decision making process associated with security applications. The many challenges addressed for face detection and authentication include cluttered environments, occlusion and disguise, temporal changes, robust training and open set testing. Reliable Face Recognition Methods seeks to comprehensively address the face recognition problem while gaining new insights from complementary fields of endeavor such as neurosciences, statistics, signal and image processing, computer vision, machine learning and data mining. This book examines the evolution of research surrounding the field to date, explores new directions, and offers specific guidance on the most promising venues for future research and development. Endorsements by: Ruud Bolle (IBM), John Daugman (Cambridge University, UK), David Zhang (Hong Kong Polytechnic University, China), Stan Li (Chinese Academy of Sciences, China), Tom Huang (University of Illinois, USA)., This book addresses the face recognition problem while gaining new insights from complementary fields. It examines the evolution of face-recognition systems and explores new directions. The book has a well-focused approach and provides an excellent reference work., This book seeks to comprehensively address the face recognition problem while gaining new insights from complementary fields. These include neurosciences, statistics, signal and image processing, computer vision, machine learning and data mining. Biometrics is the major component in the complex decision making process associated with security applications. The challenges addressed for face detection and authentication include cluttered environments, occlusion and disguise, temporal changes, robust training and open set testing. One of the challenges for computational intelligence and biometrics is to understand how people process and recognize faces, and to develop automated and reliable face recognition systems. The book examines the evolution of research surrounding the field, explores new directions, and offers specific guidance on the most promising venues for research and development. The book has a focused approach and its clarity of presentation make this an excellent reference work.
LC Classification Number
Q337.5
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