Emotion recognition and detection methods: A comprehensive survey
Human emotion recognition through artificial intelligence is one of the most popular
research fields among researchers nowadays. The fields of Human Computer Interaction …
research fields among researchers nowadays. The fields of Human Computer Interaction …
On the role and the importance of features for background modeling and foreground detection
Background modeling has emerged as a popular foreground detection technique for various
applications in video surveillance. Background modeling methods have become increasing …
applications in video surveillance. Background modeling methods have become increasing …
Facial expression recognition using hierarchical features with deep comprehensive multipatches aggregation convolutional neural networks
Facial expression recognition (FER) has long been a challenging task in computer vision. In
this paper, we propose a novel method, named deep comprehensive multipatches …
this paper, we propose a novel method, named deep comprehensive multipatches …
Local directional texture pattern image descriptor
Deriving an effective image representation is a critical step for a successful automatic image
recognition application. In this paper, we propose a new feature descriptor named Local …
recognition application. In this paper, we propose a new feature descriptor named Local …
Facial expression recognition with local prominent directional pattern
F Makhmudkhujaev, M Abdullah-Al-Wadud… - Signal Processing …, 2019 - Elsevier
Local edge-based descriptors have gained much attention as feature extraction methods for
facial expression recognition. However, such descriptors are found to suffer from unstable …
facial expression recognition. However, such descriptors are found to suffer from unstable …
Spatiotemporal directional number transitional graph for dynamic texture recognition
Spatiotemporal image descriptors are gaining attention in the image research community for
better representation of dynamic textures. In this paper, we introduce a dynamic-micro …
better representation of dynamic textures. In this paper, we introduce a dynamic-micro …
RETRACTED ARTICLE: Local Directional Maximum Edge Patterns for facial expression recognition
VU Maheswari, G Varaprasad, SV Raju - Journal of Ambient Intelligence …, 2021 - Springer
Cognitive science and neuroscience use human facial expressions of emotion. Every single
facial expression can be seen at different passions in a face space. Nowadays, facial …
facial expression can be seen at different passions in a face space. Nowadays, facial …
Facial expression recognition with neighborhood-aware edge directional pattern (NEDP)
Currently available local feature descriptors used in facial expression recognition at times
suffer from unstable feature descriptions, especially in the presence of weak and distorted …
suffer from unstable feature descriptions, especially in the presence of weak and distorted …
Collaborative expression representation using peak expression and intra class variation face images for practical subject-independent emotion recognition in videos
This paper proposes a facial expression recognition (FER) method in videos. The proposed
method automatically selects the peak expression face from a video sequence using …
method automatically selects the peak expression face from a video sequence using …
Local directional-structural pattern for person-independent facial expression recognition
F Makhmudkhujaev, MTB Iqbal… - Turkish Journal of …, 2019 - journals.tubitak.gov.tr
Existing popular descriptors for facial expression recognition often suffer from inconsistent
feature description, experiencing poor accuracies. We present a new local descriptor, local …
feature description, experiencing poor accuracies. We present a new local descriptor, local …