Advances in Computer Vision and Pattern Recognition: Recent Advances and Challenges

Rattani, Ajita; Roli, Fabio; Granger, Eric

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.

Details

Published by: Springer

Publication Date: 2016-08-23

Format: Paperback

ISBN-13: 9783319372228

DOI: 10.1007/978-3-319-24865-3

Dimensions: 235cm x155cm

Pages: 134