Face detection on partial and holistic LBP features

Face detection in low resolution images is a huge challenge in computer vision due to its insufficient information. In this paper, an improved LBP for low resolution facial image feature extraction is proposed which considers both partial and holistic facial features. Extensive experiments show that the proposed method has an encouraging performance with good robustness and strong practicality in face detection.