Buch, Englisch, 275 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 446 g
Multi-Sensory Multi-Modal Systems
Buch, Englisch, 275 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 446 g
Reihe: Signals and Communication Technology
ISBN: 978-3-662-50064-4
Verlag: Springer
This book provides ample coverage of theoretical and experimental state-of-the-art work as well as new trends and directions in biometrics. It offers students and software engineers a thorough understanding of how some core building blocks of a multi-biometric system are implemented. While the book covers a range of biometric traits including facial geometry, 3D ear form, fingerprints, vein structure, voice, and gait, its main emphasis is on multi-sensory and multi-modal face biometrics algorithms and systems. The four main sections of the book address new and emerging face biometrics; the challenges of identification in variable light and outdoor operating scenarios; multi-modal face biometrics, integrating voice, ear, and gait modalities; and multi-biometric fusion methodologies.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Naturwissenschaften Biowissenschaften Angewandte Biologie Biophysik
- Naturwissenschaften Physik Angewandte Physik Biophysik
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik
- Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Signalverarbeitung
Weitere Infos & Material
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.
