Results 81 to 90 of about 405,852 (280)
FER-PCVT: Facial Expression Recognition with Patch-Convolutional Vision Transformer for Stroke Patients [PDF]
, 2022 Yiming Fan +7 more
openalex +1 more source
Pyramid With Super Resolution for In-the-Wild Facial Expression Recognition
IEEE Access, 2020 Facial Expression Recognition (FER) is a challenging task that improves natural human-computer interaction. This paper focuses on automatic FER on a single in-the-wild (ITW) image. ITW images suffer real problems of pose, direction, and input resolution.
Thanh-Hung Vo +3 more
semanticscholar +1 more source
Action unit classification for facial expression recognition using active learning and SVM
Multimedia tools and applications, 2021 Automatic facial expression analysis remains challenging due to its low recognition accuracy and poor robustness. In this study, we utilized active learning and support vector machine (SVM) algorithms to classify facial action units (AU) for human facial
L. Yao, Yan Wan, Hongjie Ni, Bugao Xu
semanticscholar +1 more source
The Effects of Facial Attractiveness and Familiarity on Facial Expression Recognition [PDF]
Frontiers in Psychology, 2019 The classic theory of face perception holds that the invariant (e.g., identity and race) and variant (e.g., expression) dimensions of face information are independent of one another. Two separate neural systems are involved in face processing.
Jinhui Li +10 more
openaire +3 more sources
ExGenNet: Learning to Generate Robotic Facial Expression Using Facial Expression Recognition
Frontiers in Robotics and AI, 2022 The ability of a robot to generate appropriate facial expressions is a key aspect of perceived sociability in human-robot interaction. Yet many existing approaches rely on the use of a set of fixed, preprogrammed joint configurations for expression ...
Niyati Rawal +8 more
doaj +1 more source
Facial expression recognition based on local region specific features and support vector machines
, 2016 Facial expressions are one of the most powerful, natural and immediate means for human being to communicate their emotions and intensions. Recognition of facial expression has many applications including human-computer interaction, cognitive science ...
Ghimire, Deepak +3 more
core +1 more source
Counterfactual Fairness for Facial Expression Recognition
, 2023 Given the increasing prevalence of facial analysis technology, the problem of bias in these tools is becoming an even greater source of concern. Causality has been proposed as a method to address the problem of bias, giving rise to the popularity of using counterfactuals as a bias mitigation tool.
Cheong, Jiaee +2 more
openaire +2 more sources
, 2015 We present techniques for improving performance driven facial animation, emotion recognition, and facial key-point or landmark prediction using learned identity invariant representations.
Hasan, Md Kamrul +3 more
core +1 more source
Sensors, 2013 Facial expressions are widely used in the behavioral interpretation of emotions, cognitive science, and social interactions. In this paper, we present a novel method for fully automatic facial expression recognition in facial image sequences.
Joonwhoan Lee, Deepak Ghimire
doaj +1 more source
Greedy Search for Descriptive Spatial Face Features
, 2017 Facial expression recognition methods use a combination of geometric and appearance-based features. Spatial features are derived from displacements of facial landmarks, and carry geometric information.
Benligiray, Burak +2 more
core +1 more source