Though sparse representation (Wagner et al. in IEEE Trans Pattern Anal Mach Intell 34 (2):
372–386, 2012, CVPR 597–604, 2009) can perform very well in face recognition (FR), it still …

In video surveillance, the face recognition usually aims at recognizing a nonfrontal low
resolution face image from the gallery in which each person has only one high resolution …

为了克服通过全局特征以及每位个体单个模板样本进行多姿态人脸识别的不足,
提出基于改进的ORB 局部特征以及每位个体多个模板样本的多姿态人脸识别方法 …

To overcome the weakness of multi-pose face recognition by global feature or by single
template sample for each subject, a novel multi-pose face recognition method based on …

The performance of face recognition algorithm significantly degrades when the pose of
probe face is different from gallery face, especially when the angular difference between …

In the previous decade, one of the most effectual applications of image analysis and
indulgent that attracted significant consideration is the human face recognition. One of the …

Forensic facial recognition has become an essential requirement in criminal investigations
as a result of the emergence of electronic devices, such as mobile phones and computers …

Collaborative representation classification (CRC) has attracted increasing attention in face
recognition (FR) tasks. The two-phase sparse representation (TPSR) methods are the …

Eigenface recognition technique reserves limitations in achieving good performance. This
includes the large-scale database required, its sensitivity to improper illumination, as well as …