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Abstract

Because of its nonrigidity and complex three-dimensional (3D) structure, the appearance of a face is affected by a large number of factors including identity, face pose, illumination, facial expression, age, occlusion, and facial hair. The development of algorithms robust to these variations requires databases of sufficient size that include carefully controlled variations of these factors. Furthermore, common databases are necessary to comparatively evaluate algorithms. Collecting a high quality database is a resource-intensive task: but the availability of public face databases is important for the advancement of the field. In this chapter we review 27 publicly available databases for face recognition, face detection, and facial expression analysis.

Notes

Sponsor: ONR

Grant ID: N00014-00-1-0915

Associated Center(s) / Consortia: Vision and Autonomous Systems Center

Associated Lab(s) / Group(s): Face Group

Associated Project(s): Face Databases

Number of pages: 22

Text Reference

Ralph Gross, "Face Databases," Handbook of Face Recognition, S.Li, A.Jain, ed., Springer, 2005

BibTeX Reference

@incollection{Gross_2005_4932,
   author = "Ralph Gross",
   editor = "S.Li, A.Jain",
   title = "Face Databases",
   booktitle = "Handbook of Face Recognition",
   publisher = "Springer",
   address = "New York",
   month = "February",
   year = "2005",
}

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