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Real-Time Multi-Scale Face Detector on Embedded Devices
Open AccessArticle

Light Fields for Face Analysis

1
Department of Digital Security, EURECOM, 06560 Sophia Antipolis, France
2
Hochschule Darmstadt, 64295 Darmstadt, Germany
3
Department of Information Security and Communication Technology, Norwegian University of Science and Technology, 2815 Gjøvik, Norway
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Instituto de Telecomunicacoes/Instituto Superior Tecnico, Universidade de Lisboa, 1049-001 Lisboa, Portugal
5
Institut National de Recherche en Informatique et en Automatique, 35042 Rennes, France
*
Authors to whom correspondence should be addressed.
Sensors 2019, 19(12), 2687; https://doi.org/10.3390/s19122687
Received: 30 April 2019 / Revised: 7 June 2019 / Accepted: 12 June 2019 / Published: 14 June 2019
(This article belongs to the Special Issue Sensor Applications on Face Analysis)
The term “plenoptic” comes from the Latin words plenus (“full”) + optic. The plenoptic function is the 7-dimensional function representing the intensity of the light observed from every position and direction in 3-dimensional space. Thanks to the plenoptic function it is thus possible to define the direction of every ray in the light-field vector function. Imaging systems are rapidly evolving with the emergence of light-field-capturing devices. Consequently, existing image-processing techniques need to be revisited to match the richer information provided. This article explores the use of light fields for face analysis. This field of research is very recent but already includes several works reporting promising results. Such works deal with the main steps of face analysis and include but are not limited to: face recognition; face presentation attack detection; facial soft-biometrics classification; and facial landmark detection. This article aims to review the state of the art on light fields for face analysis, identifying future challenges and possible applications. View Full-Text
Keywords: survey; light field; face analysis survey; light field; face analysis
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MDPI and ACS Style

Galdi, C.; Chiesa, V.; Busch, C.; Lobato Correia, P.; Dugelay, J.-L.; Guillemot, C. Light Fields for Face Analysis. Sensors 2019, 19, 2687.

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