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.
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)
Downloads
Similar Publications
- Using automated vehicle locator data to classify discretionary police patrol across space
- Ultrasonic Detection of Concealed Handguns: Phase III/1: Electronics Development for a Field Test Unit
- Comparative Forensic Soil Analysis of New Jersey State Parks Using a Combination of Simple Techniques with Multivariate Statistics