Labeled Faces in the Wild: A Database for Studying Face Recognition in Unconstrained Environments

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Labeled Faces in the Wild: A Database for Studying Face Recognition in Unconstrained Environments

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by Gary B. Huang , Manu Ramesh , Tamara Berg , Erik Learned-Miller

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449 - 11 self

BibTeX

@MISC{Huang_labeledfaces,
    author = {Gary B. Huang and Manu Ramesh and Tamara Berg and Erik Learned-Miller},
    title = {Labeled Faces in the Wild: A Database for Studying Face Recognition in Unconstrained Environments},
    year = {}
}

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Abstract

Face recognition has benefitted greatly from the many databases that have been produced to study it. Most of these databases have been created under controlled conditions to facilitate the study of specific parameters on the face recognition problem. These parameters include such variables as position, pose, lighting, expression, background, camera quality, occlusion, age, and gender. While there are many applications for face recognition technology in which one can control the parameters of image acquisition, there are also many applications in which the practitioner has little or no control over such parameters. This database is provided as an aid in studying the latter, unconstrained, face recognition problem. The database represents an initial attempt to provide a set of labeled face photographs spanning the range of conditions typically encountered by people in their everyday lives. The database exhibits “natural ” variability in pose, lighting, focus, resolution, facial expression, age, gender, race, accessories, make-up, occlusions, background, and photographic quality. Despite this variability, the images in the database are presented in a simple and consistent format for maximum ease of use. In addition to describing the details of the database and its acquisition, we provide specific experimental paradigms for which the database is suitable. This is done in an effort to make research performed with the database as consistent and comparable as possible.

Keyphrases

unconstrained environment face recognition face recognition problem many application face recognition technology initial attempt specific experimental paradigm labeled face photograph abstract face recognition natural variability image acquisition consistent format everyday life camera quality many database facial expression specific parameter maximum ease controlled condition photographic quality

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