Predicting the probability of facial identification using a specific object model
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.
Publication Title
Applied Optics
Recommended Citation
Vollmerhausen, R., Mover, S., Krapels, K., Driggers, R., Hixson, J., & Robinson, A. (2008). Predicting the probability of facial identification using a specific object model. Applied Optics (6), 751-759. https://doi.org/10.1364/AO.47.000751
