This interdisciplinary volume presents a detailed overview of the latest advances and challenges remaining in the field of adaptive biometric systems. A broad range of techniques are provided from an international selection of pre-eminent authorities, collected together under a unified taxonomy and designed to be applicable to any pattern recognition system. Features: presents a thorough introduction to the concept of adaptive biometric systems; reviews systems for adaptive face recognition that perform self-updating of facial models using operational (unlabeled) data; describes a novel semi-supervised training strategy known as fusion-based co-training; examines the characterization and recognition of human gestures in videos; discusses a selection of learning techniques that can be applied to build an adaptive biometric system; investigates procedures for handling temporal variance in facial biometrics due to aging; proposes a score-level fusion scheme for an adaptive multimodal biometric system.
Produkteigenschaften
- Artikelnummer: 9783319372228
- Medium: Buch
- ISBN: 978-3-319-37222-8
- Verlag: Springer International Publishing
- Erscheinungstermin: 23.08.2016
- Sprache(n): Englisch
- Auflage: Softcover Nachdruck of the original 1. Auflage 2015
- Serie: Advances in Computer Vision and Pattern Recognition
- Produktform: Kartoniert, Paperback
- Gewicht: 2292 g
- Seiten: 134
- Format (B x H x T): 155 x 235 x 9 mm
- Ausgabetyp: Kein, Unbekannt