Facial sentiment analysis using AI techniques: state-of-the-art, taxonomies, and challenges
With the advancements in machine and deep learning algorithms, the envision of various
critical real-life applications in computer vision becomes possible. One of the applications is …
critical real-life applications in computer vision becomes possible. One of the applications is …
Face mask detection in COVID-19: a strategic review
With the outbreak of the Coronavirus Disease in 2019, life seemed to be had come to a
standstill. To combat the transmission of the virus, World Health Organization (WHO) …
standstill. To combat the transmission of the virus, World Health Organization (WHO) …
Deep multi-path convolutional neural network joint with salient region attention for facial expression recognition
Abstract Facial Expression Recognition (FER) has long been a challenging task in the field
of computer vision. In this paper, we present a novel model, named Deep Attentive Multi …
of computer vision. In this paper, we present a novel model, named Deep Attentive Multi …
Dominant and complementary emotion recognition from still images of faces
Emotion recognition has a key role in affective computing. Recently, fine-grained emotion
analysis, such as compound facial expression of emotions, has attracted high interest of …
analysis, such as compound facial expression of emotions, has attracted high interest of …
Improvement of emotion recognition from facial images using deep learning and early stopping cross validation
M Bentoumi, M Daoud, M Benaouali… - Multimedia Tools and …, 2022 - Springer
Inthis paper, we present a new approach for emotion recognition from facial images. The
proposed method is based on the association of a pretrained convolutional neural network …
proposed method is based on the association of a pretrained convolutional neural network …
[PDF][PDF] Facial expression recognition based on hybrid feature extraction techniques with different classifiers
Abstract Facial Expression Recognition (FER) became an important and interest challenging
area in the field of computer vision. Due to its major application possibilities, FER is an …
area in the field of computer vision. Due to its major application possibilities, FER is an …
Facial expression recognition using pose-guided face alignment and discriminative features based on deep learning
J Liu, Y Feng, H Wang - IEEE Access, 2021 - ieeexplore.ieee.org
Face expression recognition is a key technology of robot vision, which can help the robotic
understand human emotions. However, interference from the real-world, such as light …
understand human emotions. However, interference from the real-world, such as light …
Voxel-based 3D face reconstruction and its application to face recognition using sequential deep learning
In this paper, a novel 3D face reconstruction technique is proposed along with a sequential
deep learning-based framework for face recognition. It uses the voxels generated from the …
deep learning-based framework for face recognition. It uses the voxels generated from the …
Efficient facial emotion recognition model using deep convolutional neural network and modified joint trilateral filter
N Kumari, R Bhatia - Soft Computing, 2022 - Springer
Facial emotion recognition extracts the human emotions from the images and videos. As
such, it requires an algorithm to understand and model the relationships between faces and …
such, it requires an algorithm to understand and model the relationships between faces and …
Facial expression recognition using dynamic local ternary patterns with kernel extreme learning machine classifier
S Saurav, R Saini, S Singh - IEEE Access, 2021 - ieeexplore.ieee.org
Rapid growth in advanced human-computer interaction (HCI) based applications has led to
the immense popularity of facial expression recognition (FER) research among computer …
the immense popularity of facial expression recognition (FER) research among computer …