Robust Facial Expression Recognition Using Spatially Localized Geometric Model

An efficient, local image-based approach for extraction of intransient facial features and recognition of four facial expressions from 2D image sequences is presented. The algorithm uses edge projection analysis for feature extraction and creates a dynamic spatio-temporal representation of the face, followed by classification through a feed-forward net with one hidden layer. A novel transform for extracting lip region for color face images based on Gaussian modeling of skin and lip color is proposed. The proposed lip transform for colored images results in better extraction of lip region in the feature extraction stage. The algorithm achieves an accuracy of 90.0% for facial expression recognition from grayscale image sequences.