Encyclopedia of Biometrics

2009 Edition
| Editors: Stan Z. Li, Anil Jain

Face Device

  • Massimo Tistarelli
Reference work entry
DOI: https://doi.org/10.1007/978-0-387-73003-5_11

Synonyms

Definition

A face device is a system to acquire a set of digital data samples representing a human face. As the human face is a complex 3D object, the data can be in several forms: a 2D image where the gray levels of the pixels represent the projected reflectance of the face surface under visible illumination; a 2D image where the gray levels of the pixels represent the projected reflectance of the face surface illuminated with an active source; a 2D thermal image representing the heat emitted by the face surface; 3D samples of the surface structure.

Face devices can be distinguished on the basis of the data dimension if it is active or passive. Face devices can be passive, i.e., based on the passive reflectance of ambient light by the body, or active, i.e., associated with an energy emitter and a sensor to capture the energy reflected by the face. The data captured can be either in 2D or 3D form.

A face device can...

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References

  1. 1.
    Litwiller, D.: CCD vs. CMOS: facts and fiction. Photonics Spectra, pp. 151–154 (2001)Google Scholar
  2. 2.
    Blais, F.: Review of 20 years of range sensor development. J. Electron. Imaging 13(1), 231–240 (2004)CrossRefGoogle Scholar
  3. 3.
    Willson, R., Shafer, S.: What is the center of the image? J. Opt. Soc. Am. A 11(11), 2946–2955 (1994)CrossRefGoogle Scholar
  4. 4.
    Slama, C.: Manual of Photogrammetry/ American Society of Photogrammetry, Falls Church, VA, USA, 4th edn. (1980)Google Scholar
  5. 5.
    Phillips, J.J., Flynn, P., Scruggs, T., Bowyer, K.W., Chang, J., Hoffman, K., Marques, J., Jaesik, M., Worek, W.: Overview of the face recognition grand challenge. In Proceedings CVPR05, pp. 947–954 (2005)Google Scholar
  6. 6.
    Beumier, C., Acheroy, M.: Automatic 3D face authentication. Image Vision Comput. 18(4), 315–321 (2000)CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  • Massimo Tistarelli
    • 1
  1. 1.Computer Vision LaboratoryUniversity of SassariPiazza DuomoItaly