Face Biometrics for Personal Identification, Gebunden
Face Biometrics for Personal Identification
- Multi-Sensory Multi-Modal Systems
(soweit verfügbar beim Lieferanten)
- Herausgeber:
- Mongi A. Abidi, Besma Abidi
- Verlag:
- Springer Berlin Heidelberg, 02/2007
- Einband:
- Gebunden, HC runder Rücken kaschiert
- Sprache:
- Englisch
- ISBN-13:
- 9783540493440
- Artikelnummer:
- 3758094
- Umfang:
- 296 Seiten
- Sonstiges:
- 24 Tabellen,
- Nummer der Auflage:
- 2007
- Ausgabe:
- 2007
- Copyright-Jahr:
- 2007
- Gewicht:
- 612 g
- Maße:
- 241 x 160 mm
- Stärke:
- 22 mm
- Erscheinungstermin:
- 5.2.2007
- Hinweis
-
Achtung: Artikel ist nicht in deutscher Sprache!
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Inhaltsangabe
Space / Time Emerging Face Biometrics.- Pose and Illumination Invariant Face Recognition Using Video Sequences.- Recognizing Faces Across Age Progression.- Quality Assessment and Restoration of Face Images in Long Range / High Zoom Video.- Core Faces: A Shift-Invariant Principal Component Analysis (PCA) Correlation Filter Bank for Illumination-Tolerant Face Recognition.- Multi-Sensory Face Biometrics.- Towards Person Authentication by Fusing Visual and Thermal Face Biometrics.- Multispectral Face Recognition: Fusion of Visual Imagery with Physiological Information.- Feature Selection for Improved Face Recognition in Multisensor Images.- Multimodal Face Biometrics.- Multimodal Face and Speaker Identification for Mobile Devices.- Quo Vadis: 3D Face and Ear Recognition?.- Human Recognition at a Distance in Video by Integrating Face Profile and Gait.- Generic Approaches to Multibiometric Systems.- Fusion Techniques in Multibiometric Systems.- Performance Prediction Methodology for Multibiometric Systems.
Klappentext
This book provides ample coverage of theoretical and experimental state-of-the-art work as well as new trends and directions in the biometrics field. It offers students and software engineers a thorough understanding of how some core low-level building blocks of a multi-biometric system are implemented. While this book covers a range of biometric traits, its main emphasis is placed on multi-sensory and multi-modal face biometrics algorithms and systems.
