Results 91 to 100 of about 405,852 (280)
Facial Expression Recognition Based on Deep Learning Convolution Neural Network: A Review
Journal of Soft Computing and Data Mining, 2021 Facial emotional processing is one of the most important activities in effective calculations, engagement with people and computers, machine vision, video game testing, and consumer research.
S. Abdullah, A. Abdulazeez
semanticscholar +1 more source
Time-Efficient Hybrid Approach for Facial Expression Recognition [PDF]
, 2017 Facial expression recognition is an emerging research area for improving human and computer interaction. This research plays a significant role in the field of social communication, commercial enterprise, law enforcement, and other computer interactions.
Puthanidam, Roshni Velluva
core +1 more source
Analysis of Semi-Supervised Methods for Facial Expression Recognition [PDF]
, 2022 Shuvendu Roy, Ali Etemad
openalex +1 more source
Recognition of facial expressions during step-function stroboscopic presentation
Экспериментальная психология, 2018 We studied the perception of human facial emotional expressions during step-function stroboscopic presentation of changing mimics. Consecutive stages of each of the six basic facial expressions were pre sented to the participants: neutral face
V.A. Barabanschikov +2 more
doaj +1 more source
Objective Classes for Micro-Facial Expression Recognition
, 2017 Micro-expressions are brief spontaneous facial expressions that appear on a face when a person conceals an emotion, making them different to normal facial expressions in subtlety and duration.
Davison, Adrian K. +2 more
core +1 more source
The effects of Pose on Facial Expression Recognition
Procedings of the British Machine Vision Conference 2009, 2009 Research into facial expression recognition has predominantly been based upon near frontal view data. However, a recent 3D facial expression database (BU-3DFE database) has allowed empirical investigation of facial expression recognition across pose.
Moore, S, Bowden, R
openaire +3 more sources
Synthesizing Normalized Faces from Facial Identity Features
, 2017 We present a method for synthesizing a frontal, neutral-expression image of a person's face given an input face photograph. This is achieved by learning to generate facial landmarks and textures from features extracted from a facial-recognition network ...
Belanger, David +5 more
core +1 more source
Research on facial expression recognition based on an improved fusion algorithm
Nonlinear Engineering, 2022 This article puts forward a facial expression recognition (FER) algorithm based on multi-feature fusion and convolutional neural network (CNN) to solve the problem that FER is susceptible to interference factors such as non-uniform illumination, thereby ...
Yaermaimaiti Yilihamu +2 more
doaj +1 more source
Applied Sciences, 2020 The convolutional neural network (CNN) has been widely used in image recognition field due to its good performance. This paper proposes a facial expression recognition method based on the CNN model. Regarding the complexity of the hierarchic structure of
Yingying Wang +3 more
semanticscholar +1 more source
, 2016 Despite significant recent advances in the field of head pose estimation and facial expression recognition, raising the cognitive level when analysing human activity presents serious challenges to current concepts.
Kalliatakis, Grigorios +2 more
core +1 more source