Fatigue expression identifying method based on Gabor feature and sparse representation

摘要: Fast development of society means more white-collar workers are required and remain the mainstream labor force. However, who live under such high pressure easily develop mental fatigue which often produces negative impact. Therefore, how to detect level a person becomes hot topic in field image processing. According invention, method herein aims at proposing can use sparse representation classification algorithm increase accuracy identifying face expression low-resolution image. In order effectively capability determining performances, increases based on Gabor feature representation. Further, further reduce luminance noise, impact by subtle changes, combines extraction used identification PCA, Gabor, like.