NCJ Number
305990
Journal
Neurocomputing Volume: 73 Issue: 10-12 Dated: JUN 2010 Pages: 2140-2146
Date Published
June 2010
Length
7 pages
Annotation
Human faces display different color and recent research efforts show that color is useful for face recognition, so this paper presents a discriminant color space method and demonstrates its effectiveness using the FRGC Experiment 4 database and the AR database.
Abstract
The authors found that the discriminant color space is an approximate double-zero-sum (DZS) color space, and further determined that a color space with DZS characteristic is more powerful than other color spaces without this characteristic. In addition, they provide the justification for why the DZS color spaces are more effective than non-DZS color spaces for face verification and recognition from the mutual correlation perspective. (Published abstract provided)
Date Published: June 1, 2010
Downloads
Similar Publications
- AI Enabled Community Supervision for Criminal Justice Services
- Panacea or Poison: Can Propensity Score Modeling (PSM) Methods Replicate the Results from Randomized Control Trials (RCTs)?
- A Fully Continuous System of DNA Profile Evidence Evaluation That Can Utilize STR Profile Data Produced Under Different Conditions Within a Single Analysis