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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Editor: James C. Wyant
  • Vol. 47, Iss. 6 — Feb. 20, 2008
  • pp: 751–759

Predicting the probability of facial identification using a specific object model

Richard H. Vollmerhausen, Steve Moyer, Keith Krapels, Ronald G. Driggers, Jonathan G. Hixson, and Aaron L. Robinson  »View Author Affiliations


Applied Optics, Vol. 47, Issue 6, pp. 751-759 (2008)
http://dx.doi.org/10.1364/AO.47.000751


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Abstract

Many security and surveillance tasks involve either finding an object in a cluttered scene or discriminating between like objects. For example, an observer might look for a person of known height and weight in a crowd, or he might want to positively identify a specific face. The paper “Modeling target acquisition tasks associated with security and surveillance” [Appl. Opt. 46, 4209 (2007)] describes a specific-object model used to predict the probability of accomplishing this type of task. We describe four facial identification experiments and apply the specific-object model to predict the results. Facial identification is accurately predicted by the specific-object model.

© 2008 Optical Society of America

OCIS Codes
(110.2960) Imaging systems : Image analysis

ToC Category:
Imaging Systems

History
Original Manuscript: September 18, 2007
Manuscript Accepted: October 24, 2007
Published: February 19, 2008

Virtual Issues
Vol. 3, Iss. 3 Virtual Journal for Biomedical Optics

Citation
Richard H. Vollmerhausen, Steve Moyer, Keith Krapels, Ronald G. Driggers, Jonathan G. Hixson, and Aaron L. Robinson, "Predicting the probability of facial identification using a specific object model," Appl. Opt. 47, 751-759 (2008)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-47-6-751


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References

  1. R. Vollmerhausen and A. L. Robinson, “Modeling target acquisition tasks associated with security and surveillance,” Appl. Opt. 46, 4209-4221 (2007). [CrossRef] [PubMed]
  2. R. H. Vollmerhausen, E. Jacobs, and R. Driggers, “New metric for predicting target acquisition performance,” Opt. Eng. 43, 2806-2818 (2004). [CrossRef]
  3. R. H. Vollmerhausen, E. Jacobs, J. Hixson, and M. Friedman, “The targeting task performance (TTP) metric; a new model for predicting target acquisition performance,” Tech Report AMSEL-NV-TR-230, NVESD, US Army CERDEC, Fort Belvoir, Va., March 2005.
  4. P. G. J. Barten, “Formula for the contrast sensitivity of the human eye,” Proc. SPIE 5294, 231-238 (2004). Paper available on the Web at http://www.SPIE.org. [CrossRef]
  5. R. H. Vollmerhausen, “Incorporating display limitations into night vision performance models,” IRIS Passive Sensors 2, 11-31 (1995).
  6. R. H. Vollmerhausen, “Modeling the performance of imaging sensors,” in Electro-Optical Imaging: System Performance and Modeling, Chapter 12, L. Biberman, ed. (SPIE Press, Bellingham, Wash., 2000).
  7. R. G. Driggers, R. Vollmerhausen, and K. Krapels, “Target identification performance as a function of temporal and fixed pattern noise,” Opt. Eng. 40, 443-447 (2001). [CrossRef]

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