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 Citizen Notification To Interrupt Near-Repeat Residential Burglary Patterns: the Micro-Level Near-Repeat Experiment
- The relative and joint effects of gunshot detection technology and video surveillance cameras on case clearance in Chicago
- Cellphone Contraband Detection Using Portable Ferromagnetic Detectors in a Correctional Environment