9786138273462 - Discriminative Methods for Face Verification with Age Progression: System Design, Implementation and Evaluation de Hegu, Piyush (5 resultados)

Taschenbuch. Condición: Neu. Neuware -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 recognition with age progression and authentication include cluttered environments, occlusion and disguise, temporal changes, and last but not least, robust training and open set testing.Face Recognition Methods seeks to comprehensively address the face recognition problem while drawing inspiration and gaining new insights from complementary fields of endeavour 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. The book is ideally suited to students studying biometrics, pattern recognition, and human-computer interaction.Books on Demand GmbH, Überseering 33, 22297 Hamburg 56 pp. Englisch.

Taschenbuch. Condición: Neu. Discriminative Methods for Face Verification with Age Progression | System Design, Implementation and Evaluation | Piyush Hegu | Taschenbuch | 56 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786138273462 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 recognition with age progression and authentication include cluttered environments, occlusion and disguise, temporal changes, and last but not least, robust training and open set testing. Face Recognition Methods seeks to comprehensively address the face recognition problem while drawing inspiration and gaining new insights from complementary fields of endeavour 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. The book is ideally suited to students studying biometrics, pattern recognition, and human-computer interaction. 56 pp. Englisch.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Hegu PiyushPiyush Hegu is an Assistant Professor in the Department of Electronics & Telecommunication Engineering, Jawaharlal Darda Institute of Engineering & Technology, Yavatmal. He obtained his Masters in VLSI from Nagpur Universi.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 recognition with age progression and authentication include cluttered environments, occlusion and disguise, temporal changes, and last but not least, robust training and open set testing. Face Recognition Methods seeks to comprehensively address the face recognition problem while drawing inspiration and gaining new insights from complementary fields of endeavour 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. The book is ideally suited to students studying biometrics, pattern recognition, and human-computer interaction.