Adaptive feature extraction for blurred face images in facial expression recognition
Hyung-Il Kim, Seung Ho Lee, Yong Man Ro · 2014
In real world facial expression recognition, blurred face images could hamper achieving high performance due to the lack of distinct edges and textures. In this paper, we propose a new feature extraction method that is robust to blurred face images for facial expression recognition. In the proposed method, the facial feature is extracted adaptively depending on the image sharpness, aiming to achieve robustness against blurred face images. Experimental results on blurred face images demonstrate that the proposed method outperforms the exiting feature extraction method.