A new approach for face recognition from video sequence
K. Mahesh Prasanna, C. Shantharama · 2018 2nd International Conference on Inventive Systems and Control (ICISC) · 2018
Video face recognition is a widely used method. Unlike traditional methods, one has to consider practical constraints such as pose and illumination variations on the facial images. Along with good performance, the computational cost must also be considered. This work proposes a simple face recognition technique in which a cost efficient Active Appearance Model (AAM) and lazy classification are deployed. The deployed AAM avoids nonlinear programming, which is the cornerstone for increased computational cost. Experimental results prove that the proposed method is better than the conventional technique in terms of recognition measures and computational cost.