Eigenimage-Based Facial Recognition Technique Using Gradient Covariance
Tudor Barbu · Numerical Functional Analysis and Optimization · 2007
In this paper, we propose a novel eigenface-based face recognition approach. First we describe a continuous model for facial feature extraction, involving the covariance operator associated with gradient of the 2-D image function. Then we provide a discretized version of this model. Face identification and verification procedures, using a supervised classification technique, are also proposed.