[HTML][HTML] 3D approaches and challenges in facial expression recognition algorithms—a literature review
In recent years, facial expression analysis and recognition (FER) have emerged as an active
research topic with applications in several different areas, including the human-computer …
research topic with applications in several different areas, including the human-computer …
3d morphable face models—past, present, and future
In this article, we provide a detailed survey of 3D Morphable Face Models over the 20 years
since they were first proposed. The challenges in building and applying these models …
since they were first proposed. The challenges in building and applying these models …
Multimodal 2D+ 3D facial expression recognition with deep fusion convolutional neural network
This paper presents a novel and efficient deep fusion convolutional neural network (DF-
CNN) for multimodal 2D+ 3D facial expression recognition (FER). DF-CNN comprises a …
CNN) for multimodal 2D+ 3D facial expression recognition (FER). DF-CNN comprises a …
Muscular movement model-based automatic 3D/4D facial expression recognition
Facial expression is an important channel for human nonverbal communication. This paper
presents a novel and effective approach to automatic 3D/4D facial expression recognition …
presents a novel and effective approach to automatic 3D/4D facial expression recognition …
Facial expression recognition of online learners from real-time videos using a novel deep learning model
M Jagadeesh, B Baranidharan - Multimedia Systems, 2022 - Springer
In every learning setting, in classrooms or online, a student's emotions throughout course
involvement play a critical role. It employs disturbing, excite, and eye and head movement …
involvement play a critical role. It employs disturbing, excite, and eye and head movement …
3D-2D face recognition with pose and illumination normalization
In this paper, we propose a 3D-2D framework for face recognition that is more practical than
3D-3D, yet more accurate than 2D-2D. For 3D-2D face recognition, the gallery data …
3D-3D, yet more accurate than 2D-2D. For 3D-2D face recognition, the gallery data …
3D facial expression recognition using kernel methods on Riemannian manifold
Abstract Automatic human Facial Expressions Recognition (FER) is becoming of increased
interest. FER finds its applications in many emerging areas such as affective computing and …
interest. FER finds its applications in many emerging areas such as affective computing and …
4-D facial expression recognition by learning geometric deformations
In this paper, we present an automatic approach for facial expression recognition from 3-D
video sequences. In the proposed solution, the 3-D faces are represented by collections of …
video sequences. In the proposed solution, the 3-D faces are represented by collections of …
Unsupervised domain adaptation with regularized optimal transport for multimodal 2D+ 3D facial expression recognition
Since human expressions have strong flexibility and personality, subject-independent facial
expression recognition is a typical data bias problem. To address this problem, we propose …
expression recognition is a typical data bias problem. To address this problem, we propose …
Texture and geometry scattering representation-based facial expression recognition in 2D+ 3D videos
Facial Expression Recognition (FER) is one of the most important topics in the domain of
computer vision and pattern recognition, and it has attracted increasing attention for its …
computer vision and pattern recognition, and it has attracted increasing attention for its …