Face Detection and Smile Classifier
Patrick Wong, Eric Chan Lam Choi, Gregory Peaker
Introduction and Motivation
We decided to implement face detection using Neural Networks and complement it with a smile classifier. For the smile classifier, we used three different machine learning techniques to achieve our ends.
Face and emotion classification is useful now for various applications, such as smile detectors and auto focus in recent digital camera technologies. Also, the feature extraction techniques are useful for other fields of interest, such face recognition in security cameras. While we initially intended to pursue emotion detection, we felt that it was better to put more focus on smile detection and classification as it can be extended to classify other emotions.