This paper presents a short summary of dissertation thesis. The thesis novel approach named X-Bridge for image-to-sketch translation automatic heterogeneous face recognition. is based on conditional adversarial network with an additional reconstruction path and shared-latent space assumption between the original path. With these modications, results provided by overcome other state-of-the-art m...

The speech emotion recognition is a very interesting yet challenging task of human computer interaction. In the recent years this topic has grabbed so much attention. field many techniques have been utilized to extract emotions from signals , including well- established analysis and classification techniques. traditional way features are extracted then selected which collectively know as select...

Considering the myriad perspectives of facial recognition technology.

Recent theory suggests that face recognition accuracy is affected by people's motivations, with people being particularly motivated to remember ingroup versus outgroup faces. In the current research we suggest that those higher in interdependence should have a greater motivation to remember ingroup faces, but this should depend on how ingroups are defined. To examine this possibility, we used a...

As face recognition research matures and products are deployed, the performance of such syslemsis being scrutinized by many constituencies. Performance factors of strong practical interest include the elapsed time betwccn a subject's enrollment and subsequent acquisition of an unidentified face image, and the number of images of each subject available. In this paper, a long-term image acquisiti...

We address the problem of one-shot unconstrained face recognition. This is addressed by using a deep attribute representation of faces. While face recognition has considered the use of attribute based representations, for one-shot face recognition, the methods proposed so far have been using different features that represent the limited example available. We postulate that by using an intermedi...

Temporal lobe abnormalities and emotion recognition deficits are prominent features of schizophrenia and appear related to the diathesis of the disorder. This study investigated whether temporal lobe structural abnormalities were associated with facial emotion recognition deficits in schizophrenia and related to genetic liability for the disorder. Twenty-seven schizophrenia patients, 23 biologi...

Automatic facial expression recognition from video sequence is an essential research area in the field of computer vision. In this paper, a novel method for recognition facial expressions is proposed, which includes two stages of facial expression feature extraction and facial expression recognition. Firstly, in order to exact robust facial expression features, we use Active Appearance Model (A...

Reliable facial recognition systems are of crucial importance in various applications from entertainment to security. Thanks to the deep-learning concepts introduced in the field, a significant improvement in the performance of the unimodal facial recognition systems has been observed in the recent years. At the same time a multimodal facial recognition is a promising approach. This paper combi...