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2015 | OriginalPaper | Buchkapitel

13. Automatic Face Recognition

verfasst von : Francesco Camastra, Alessandro Vinciarelli

Erschienen in: Machine Learning for Audio, Image and Video Analysis

Verlag: Springer London

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Abstract

What the reader should know to understand this chapter \(\bullet \) Basic notions of image processing (Chap. 3). \(\bullet \) Support vectors machines and kernel methods (Chap. 9). \(\bullet \) Principal component analysis (Chap. 11).

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Vorheriges Kapitel Speech and Handwriting Recognition

Nächstes Kapitel Video Segmentation and Keyframe Extraction

At the time this book is being written, the TorchVision utilities and the features extracted from the XM2VTS dataset are available on the following website: http://pyverif.idiap.ch.

The diffusion coefficient is a factor of proportionality representing the amount of energy diffusing across a unit area through a unit energy gradient in unit time.

At the time this book is being written, the informations about past and future FRVT evaluations are available at the following site: www.frvt.org.

At the time this book is being written the data is available at cost price at the following website: http://www.ee.surrey.ac.uk/Research/VSSP/xm2vtsdb. Feature vectors extracted from the database are available on http://TorchVision.idiap.ch/documentation.php, following the link Examples or Labs.

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Titel: Automatic Face Recognition
verfasst von: Francesco Camastra
Alessandro Vinciarelli
Verlag: Springer London
Buch: Machine Learning for Audio, Image and Video Analysis
Print ISBN: 978-1-4471-6734-1

Electronic ISBN: 978-1-4471-6735-8

Copyright-Jahr: 2015
DOI: https://doi.org/10.1007/978-1-4471-6735-8_13

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