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Though a variety of face recognition techniques have been proposed in the literature, only a few of them considered open set recognition problems, which involves the rejection of unregistered subjects in addition to identifying persons registered in the database. Transductive confidence machine (TCM) is a novel strategy for classification associated with valid confidence, with recognition reliability...
In the past few years, sparse representation classifier (SRC) has attracted great attention and widely used in human face recognition. Kernel sparse representation classifier (KSRC) based Metaface dictionary learning (MFL) is discussed in this paper. KSRC is a nonlinear extension of SRC. Through kernel trick, samples are mapped into an unknown kernel feature space first and then SRC will be used in...
A dynamic facial expression recognition method based on the auto-regressive (AR) models using combined features of both shape and texture features is proposed in this paper. The AR model is effective to model complicated facial motions. In this work, six AR models are first learned for six basic expressions based on the fusion of shape and texture features of the difference between the neutral image...
While classical face recognition (FR) technologies are mainly based on static images, video-based FR is concerned with the matching of two image sets containing facial images captured from each video. Video based FR is supposed to be advantageous as it takes more abundant information in to account to improve accuracy and robustness. Though many methods have been proposed, there still exists a variety...
In the paper we present an increment coefficient method used in face recognition which is also a linear representation-based method. Different from traditional linear representation-based method, for every class, we develop a linear model representing a virtual sample as a linear representation of the class-specific training sample and the testing sample. In the model, the virtual sample is the mean...
Automatic detection of nose regions on 3D face images is highly important for 3D face registration and recognition. It can also be used in facial landmark detection which is important in facial feature segmentation, facial shape analysis, face synthesis and facial mesh reconstruction. In this paper, we propose a nose detection approach based on template matching of depth images. We have constructed...
Since mirror-like odd and even features in face recognition reflect the symmetrical and asymmetrical image information, respectively, their proper combination can improve the recognition rates to some extent. However, the face imaging process can easily be affected by external factors and encounter the noise signal, which disturbs the effect of face recognition based on combinational mirror-like odd...
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