نتایج جستجو برای: facial recognition
تعداد نتایج: 299044 فیلتر نتایج به سال:
automatic facial recognition has many potential applications in different areas of humancomputer interaction. however, they are not yet fully realized due to the lack of an effectivefacial feature descriptor. in this paper, we present a new appearance based feature descriptor,the local directional pattern (ldp), to represent facial geometry and analyze its performance inrecognition. an ldp feat...
A major challenge in pattern recognition is labeling of large numbers of samples. This problem has been solved by extending supervised learning to semi-supervised learning. Thus semi-supervised learning has become one of the most important methods on the research of facial expression recognition. Frontal and un-occluded face images have been well recognized using traditional facial expression r...
Face recognition plays an important vision task having many practical applications such as biometrics, video surveillance, image retrieval, and human computer interaction. Most recently facial expression recognition has been focused for biometric facial recognition system in various confidential and high secured operational areas. Information for biometric representation and recognition are ava...
children with autism spectrum disorders (asds) have great problems in social interactions including face recognition. there are many studies reporting deficits in face memory in individuals with asds. on the other hand, some studies indicate that this kind of memory is intact in this group. in the present study, delayed face recognition has been investigated in children and adolescents with asd...
In recent years, emotion recognition has attracted extensive interest in signal processing, artificial intelligence and pattern recognition due to its potential applications to human-computer-interaction (HCI). Most previously published works in the field of emotion recognition devote to performing emotion recognition by using either affective speech or facial expression. However, Affective spe...
Automatic recognition of facial expressions is an important component for human-machine interfaces. It has lot of attraction in research area since 1990's.Although humans recognize face without effort or delay, recognition by a machine is still a challenge. Some of its challenges are highly dynamic in their orientation, lightening, scale, facial expression and occlusion. Applications are in the...
Facial recognition technology is effective in human computer communication. Robustness for facial recognition is necessary because face views change in many ways due to position, expression, and light. We propose a facial recognition system robust for facial scale variations, which is mainly composed of our flexible feature matching and rapid parallel estimation of facial position and scale.
Face perception relies on computations carried out in face-selective cortical areas. These areas have been intensively investigated for two decades, and this work has been guided by an influential neural model suggested by Haxby and colleagues in 2000. Here, we review new findings about face-selective areas that suggest the need for modifications and additions to the Haxby model. We suggest a r...
Automated human face recognition is an important computer vision problem with numerous applications including security, surveillance, database retrieval, and human computer interaction. Over two decades of research in the area has resulted in a number of successful techniques for recognition of color/intensity two dimensional (2D) frontal facial images. However, the performance of these algorit...
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