Face analysis is an essential topic in computer vision that dealing with human faces for recognition or prediction tasks. The face is one of the easiest ways to distinguish the identity people. Face recognition is a type of personal identification system that employs a person’s personal traits to determine their identity. Human face recognition scheme generally consists of four steps, namely face detection, alignment, representation, and verification. In this paper, we propose to extract information from human face for several tasks based on recent advanced deep learning framework. The proposed approach outperforms the results in the state-of-the-art
Gender as a soft biometric attribute has been extensively investigated in the domain of computer vis...
Age and gender identification have grown to be important components of the biometric system, protect...
Although significant advances have been made recently in the field of face recognition, these have s...
In recent years, there has been an increased emphasis placed on the identification of face traits in...
After decades of research, it is exciting to see that face recognition technology has entered a most...
This paper reviews the development of face recognition based on deep learning in the field of biomet...
Biometric recognition based on the full face is an extensive research area. However, using only part...
Face Recognition is a recently developing technology with numerous real life applications. The goal ...
Face detection, registration, and recognition have become a fascinating field for researchers. The m...
Deep learning, artificial intelligence and other cutting-edge technologies are constantly being inte...
The last two decades have seen an escalating interest in methods for large-scale unconstrained face ...
Facial attribute recognition including age, gender and expression has increase curiosity among compu...
The key challenge of face recognition is to develop effective feature repre-sentations for reducing ...
Facial recognition with mask/noise has consistently been a challenging task in computer vision, whic...
The key challenge of face recognition is to develop effective feature repre-sentations for reducing ...
Gender as a soft biometric attribute has been extensively investigated in the domain of computer vis...
Age and gender identification have grown to be important components of the biometric system, protect...
Although significant advances have been made recently in the field of face recognition, these have s...
In recent years, there has been an increased emphasis placed on the identification of face traits in...
After decades of research, it is exciting to see that face recognition technology has entered a most...
This paper reviews the development of face recognition based on deep learning in the field of biomet...
Biometric recognition based on the full face is an extensive research area. However, using only part...
Face Recognition is a recently developing technology with numerous real life applications. The goal ...
Face detection, registration, and recognition have become a fascinating field for researchers. The m...
Deep learning, artificial intelligence and other cutting-edge technologies are constantly being inte...
The last two decades have seen an escalating interest in methods for large-scale unconstrained face ...
Facial attribute recognition including age, gender and expression has increase curiosity among compu...
The key challenge of face recognition is to develop effective feature repre-sentations for reducing ...
Facial recognition with mask/noise has consistently been a challenging task in computer vision, whic...
The key challenge of face recognition is to develop effective feature repre-sentations for reducing ...
Gender as a soft biometric attribute has been extensively investigated in the domain of computer vis...
Age and gender identification have grown to be important components of the biometric system, protect...
Although significant advances have been made recently in the field of face recognition, these have s...