NCJ Number
305612
Date Published
January 2010
Length
6 pages
Annotation
The authors propose site adaptation for generic face recognizers based on facial images captured by cameras at the site as an adaptation set.
Abstract
Based on an OSFV[20] face recognizer with Gabor features selected by Adaboost algorithm, the authors propose several site adaptation methods at the feature level and at the model level. The experimental results showed that the proposed site adaptation approaches can significantly boost the performance of the authors’ generic face recognition algorithm at site with unforeseen illumination background and imaging conditions with a small adaptation set. (Publisher abstract provided)
Date Published: January 1, 2010
Downloads
Similar Publications
- Machine Learning and the Prevention of Mass Shooting in the United States
- Understanding the Potential for Multidisciplinary Threat Assessment and Management Teams to Prevent Terrorism: Conducting a Formative Evaluation of the MassBay Threat Assessment Team
- Learning about ShotSpotter — and Gun Violence — from Chicago