Graphics enhanced version of this site

Face Databases
R. Gross
Handbook of Face Recognition, S.Li, A.Jain, ed., Springer, New York, February, 2005.

Jump to: Download | Abstract | Notes | Text Reference | BibTeX Reference

Adobe portable document format (pdf) [7138 KB]

Copyright notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.

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.

Sponsor: ONR
Grant ID: N00014-00-1-0915

Associated center: VASC
Associated labs/groups: Face Group and Human Sensing
Associated project: Face Databases

Number of pages: 22

R. Gross, "Face Databases," Handbook of Face Recognition, S.Li, A.Jain, ed., Springer, New York, February, 2005.

@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"
}