Although the use of super-resolution techniques has demonstrated the ability to improve face recognition accuracy when compared to traditional upsampling techniques, they are dif...
Frank Lin, Clinton Fookes, Vinod Chandran, Sridha ...
The addition of Three Dimensional (3D) data has the potential to greatly improve the accuracy of Face Recognition Technologies by providing complementary information. In this pape...
Jamie Cook, Chris McCool, Vinod Chandran, Sridha S...
Most face recognition algorithms use a “distancebased” approach: gallery and probe images are projected into a low dimensional feature space and decisions about matching are b...
In this paper, we propose a new algorithm to boost performance of traditional Linear Discriminant Analysis (LDA)-based face recognition (FR) methods in complex FR tasks, where hig...
Juwei Lu, Konstantinos N. Plataniotis, Anastasios ...
The performance of face recognition is greatly affected by illumination changes because intra-person variation of the captured images under different lighting conditions can be mu...