Spatial rule based approach for facial expression recognition

The paper presents a vision based approach to facial expression recognition using commonly available hardware resources and considering very simple spatial features of the face. Face region is cropped on the image and image processing techniques are applied heuristically to local various facial feature regions. Individual feature points are detected precisely in these feature regions. Spatial rules are applied to feature point configuration to determine the expression conveyed over two sequential images. The approach was implemented and tested with a standard dataset as well as a self-collected dataset. Experimental results indicate good performance and increased resource efficiency over some well-known approaches.