The IST-EURECOM Light Field Face Database | IEEE Conference Publication | IEEE Xplore

The IST-EURECOM Light Field Face Database


Abstract:

Light field cameras are emerging as powerful devices to capture rich scene representations that provide unique advantages for analysis and representation purposes. Some r...Show More

Abstract:

Light field cameras are emerging as powerful devices to capture rich scene representations that provide unique advantages for analysis and representation purposes. Some recent works have shown the power and usefulness of the richer information carried out by light field imaging, notably for face recognition. However, it is still difficult to fully assess how face recognition technology can benefit from these novel imaging sensors, notably due to the lack of appropriate test material. To support face recognition research exploiting light field images, the IST-EURECOM Light Field Face Database (IST-EURECOM LFFD) is presented in this paper. The purpose is to report the public availability of a light field face database which should be instrumental for designing, testing and validating light field imaging based recognition systems. The proposed face database includes data from 100 subjects, captured by a Lytro ILLUM camera in two 1-6 months separated sessions, with 20 samples per each person per session. To simulate multiple scenarios, the images are captured with several facial variations, covering a range of emotions, actions, poses, illuminations, and occlusions. The database includes the raw light field images, 2D rendered images and associated depth maps, along with a rich set of metadata. The IST-EURECOM LFFD is expected to become a valuable addition to existing face database repositories.
Date of Conference: 04-05 April 2017
Date Added to IEEE Xplore: 29 May 2017
ISBN Information:
Conference Location: Coventry, UK

I. Introduction

Nowadays, automatically recognizing the identity of a person is of paramount importance. Face recognition is one biometric modality that is widely used in personal devices, but also in legal and commercial applications, with high acceptability, collectability and universality [1], [2]. Advances in imaging technologies have been leading to a revolution in face recognition systems over the last decade. The recent availability of new imaging sensors opens a new range of possibilities also for image-based personal recognition systems, notably allowing a boost in the performance of many face recognition systems and applications [3]. Light field imaging technologies have recently come into prominence as they record not only the intensity of light on a specific 2D plane position but rather the intensity of the light rays for any direction in space [4], [5]. Preliminary works have shown the effectiveness of the supplementary information captured by light field cameras for face recognition applications [6], [7], even when considering one single shot and without using additional optics.

References

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