Traditional collaborative representation based classification (CRC) method usually faces the
challenge of data uncertainty hence results in poor performance, especially in the presence …

Recently, a series of cascaded pose regression based facial landmark localization methods
under occlusion have been proposed. However, partial occlusions and pose variations will …

Classical sparse modeling requires accurate alignment between the query and the training
data. This precondition is disadvantageous for target recognition tasks, where, although the …

This paper presents a new facial landmark detection method for images and videos under
uncontrolled conditions, based on a proposed Face Alignment Recurrent Network (FARN) …

It is necessary to recognize the target in the situation of military battlefield monitoring and
civilian real‐time monitoring. Sparse representation‐based SAR image target recognition …

The variety of face pose has imposed significant challenges on the existing face recognition.
A novel approach has been proposed for multi-pose face recognition using LSTM and CNN …

Extended sparse representation-based classification (ESRC) has shown interesting results
on the problem of under-sampled face recognition by generating an auxiliary intraclass …

The existing approaches usually perform facial landmark detection and head pose
estimation independently and sequentially, ignoring their coupled relations. We introduce a …

Face recognition is a popular research problem in the domain of image analysis. The steps
involved in face recognition are mainly face verification and face classification. Face …

It is necessary to recognize the target in the situation of military battlefield monitoring and
civilian real-time monitoring. In this paper, a method based on sparse representation and …