Predicting the probability of facial identification using a specific object model

Richard H. Vollmerhausen, Steve Mover, Keith Krapels, Ronald G. Driggers, Jonathan G. Hixson, Aaron L. Robinson

Research output: Contribution to journalArticlepeer-review

8 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)751-759
Number of pages9
JournalApplied optics
Issue number6
StatePublished - Feb 20 2008
Externally publishedYes

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Engineering (miscellaneous)
  • Electrical and Electronic Engineering


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