Emotion recognition from face images is a challenging task that gained interest in recent years for its applications to business intelligence and social robotics. Researchers in computer vision and affective computing focused on optimizing the classification error on benchmark data sets, which do not extensively cover possible variations that face images may undergo in real environments. Following on investigations carried out in the field of object recognition, we evaluated the robustness of existing methods for emotion recognition when their input is subjected to corruptions caused by factors present in real-world scenarios. We constructed two data sets on top of the RAF-DB test set, named RAF-DB-C and RAF-DB-P, that contain images modifi...
The facial emotion recognition by the machine is a challenging task. From decades, researchers appli...
Our society has evolved to a threshold where use of machines to automate mundane tasks is constantly...
Emotion on our face can determine our feelings, mental state and can directly impact our decisions. ...
Emotion recognition from face images is a challenging task that gained interest in recent years for ...
Emotion recognition has become an increasingly important area of research due to the increasing numb...
The use of machines to perform different tasks is constantly increasing in society. Providing machin...
Deep neural networks are a powerful model for feature extraction. They produce features that enable ...
Facial emotion recognition is a widely studied area with applications in diverse domains such as hum...
Emotion recognition is a relatively new research area within image analysis where machine learning m...
In the last few years, a great deal of interesting research has been achieved on automatic facial em...
Emotion recognition, and more particularly facial expression recognition (FER), has been extensively...
Rapid advancements in Machine Learning (ML) have made it possible to equip computers with the abilit...
Abstract — Face recognition has been around for years. Taking a step forward, human emotions display...
Emotion recognition is an interesting and important field of study in many professional fieldssuch a...
A lot of progress has been made in the field of Facial Emotion Recognition (FER) in the last decade ...
The facial emotion recognition by the machine is a challenging task. From decades, researchers appli...
Our society has evolved to a threshold where use of machines to automate mundane tasks is constantly...
Emotion on our face can determine our feelings, mental state and can directly impact our decisions. ...
Emotion recognition from face images is a challenging task that gained interest in recent years for ...
Emotion recognition has become an increasingly important area of research due to the increasing numb...
The use of machines to perform different tasks is constantly increasing in society. Providing machin...
Deep neural networks are a powerful model for feature extraction. They produce features that enable ...
Facial emotion recognition is a widely studied area with applications in diverse domains such as hum...
Emotion recognition is a relatively new research area within image analysis where machine learning m...
In the last few years, a great deal of interesting research has been achieved on automatic facial em...
Emotion recognition, and more particularly facial expression recognition (FER), has been extensively...
Rapid advancements in Machine Learning (ML) have made it possible to equip computers with the abilit...
Abstract — Face recognition has been around for years. Taking a step forward, human emotions display...
Emotion recognition is an interesting and important field of study in many professional fieldssuch a...
A lot of progress has been made in the field of Facial Emotion Recognition (FER) in the last decade ...
The facial emotion recognition by the machine is a challenging task. From decades, researchers appli...
Our society has evolved to a threshold where use of machines to automate mundane tasks is constantly...
Emotion on our face can determine our feelings, mental state and can directly impact our decisions. ...