Survey on rgb, 3d, thermal, and multimodal approaches for facial expression recognition: History, trends, and affect-related applications
CA Corneanu, MO Simón, JF Cohn… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
Facial expressions are an important way through which humans interact socially. Building a
system capable of automatically recognizing facial expressions from images and video has …
system capable of automatically recognizing facial expressions from images and video has …
Automatic analysis of facial actions: A survey
As one of the most comprehensive and objective ways to describe facial expressions, the
Facial Action Coding System (FACS) has recently received significant attention. Over the …
Facial Action Coding System (FACS) has recently received significant attention. Over the …
Ferv39k: A large-scale multi-scene dataset for facial expression recognition in videos
Current benchmarks for facial expression recognition (FER) mainly focus on static images,
while there are limited datasets for FER in videos. It is still ambiguous to evaluate whether …
while there are limited datasets for FER in videos. It is still ambiguous to evaluate whether …
Facial expression recognition in videos using dynamic kernels
Recognition of facial expressions across various actors, contexts, and recording conditions
in real-world videos involves identifying local facial movements. Hence, it is important to …
in real-world videos involves identifying local facial movements. Hence, it is important to …
Identity-adaptive facial expression recognition through expression regeneration using conditional generative adversarial networks
Subject variation is a challenging issue for fa-cial expression recognition, especially when
handling unseen subjects with small-scale lableled facial expression databases. Although …
handling unseen subjects with small-scale lableled facial expression databases. Although …
Spontaneous expression recognition using universal attribute model
Spontaneous expression recognition refers to recognizing non-posed human expressions.
In literature, most of the existing approaches for expression recognition mainly rely on …
In literature, most of the existing approaches for expression recognition mainly rely on …
Neckface: Continuously tracking full facial expressions on neck-mounted wearables
Facial expressions are highly informative for computers to understand and interpret a
person's mental and physical activities. However, continuously tracking facial expressions …
person's mental and physical activities. However, continuously tracking facial expressions …
Expression recognition method based on a lightweight convolutional neural network
G Zhao, H Yang, M Yu - IEEE Access, 2020 - ieeexplore.ieee.org
Effective emotion recognition algorithms can help machines better understand people and
promote the development of human-computer interaction applications. In recent years, many …
promote the development of human-computer interaction applications. In recent years, many …
Action unit analysis enhanced facial expression recognition by deep neural network evolution
Facial expression is one of the most powerful and natural signals for human beings
conveying their emotional states and intentions. Recently, facial expression recognition from …
conveying their emotional states and intentions. Recently, facial expression recognition from …
Automatic recognition of facial displays of unfelt emotions
Humans modify their facial expressions in order to communicate their internal states and
sometimes to mislead observers regarding their true emotional states. Evidence in …
sometimes to mislead observers regarding their true emotional states. Evidence in …