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
- Enhancing Fault Ride-Through Capacity of DFIG-Based WPs by Adaptive Backstepping Command Using Parametric Estimation in Non-Linear Forward Power Controller Design
- ChatGPTing Securely: Using Machine Learning to Automate Writing Rape Reports, Closed Source Large Language Models
- Person Recognition: Qualitative Differences in How Forensic Face Examiners and Untrained People Rely on the Face Versus the Body for Identification