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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
Citations:449 - 11 self
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@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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