Results 51 to 60 of about 5,355,300 (381)

The role of spatial frequency information for ERP components sensitive to faces and emotional facial expression [PDF]

, 2005
To investigate the impact of spatial frequency on emotional facial expression analysis, ERPs were recorded in response to low spatial frequency (LSF), high spatial frequency (HSF), and unfiltered broad spatial frequency (BSF) faces with fearful or ...
Adolphs, Adolphs, Allison, Amanda Holmes, Anderson, Anderson, Armony, Ashley, Bentin, Berson, Bex, Blair, Blakemore, Bradley, Breiter, Breitmeyer, Bruce, Calder, Damasio, Damasio, Damasio, de Gelder, Diedrich, Dolan, Dolan, Eimer, Eimer, Eimer, Eimer, Ekman, Erikson, Fox, Georgiou, Goffaux, Halgren, Halgren, Herrmann, Holmes, Joel S. Winston, Kaplan, Lang, Leventhal, Liu, Livingstone, Marinrkovic, Martin Eimer, McCarthy, Mogg, Morris, Morris, Morris, Moulden, Nakamura, Pessoa, Pourtois, Rafal, Rolls, Sagiv, Sahraie, Sato, Schiller, Schyns, Vuilleumier, Vuilleumier, Whalen, Winston, Yiend, Öhman   +67 more
core   +1 more source

EMPATH: A Neural Network that Categorizes Facial Expressions [PDF]

, 2002
There are two competing theories of facial expression recognition. Some researchers have suggested that it is an example of "categorical perception." In this view, expression categories are considered to be discrete entities with sharp boundaries, and ...
Adolphs, Ralph, Cottrell, Garrison W., Dailey, Matthew N., Padgett, Curtis   +3 more
core   +2 more sources

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, Kari Tusongjiang, Zhuang Guohang   +2 more
doaj   +1 more source

Adaptive 3D Model-Based Facial Expression Synthesis and Pose Frontalization

Sensors, 2020
Facial expressions are one of the important non-verbal ways used to understand human emotions during communication. Thus, acquiring and reproducing facial expressions is helpful in analyzing human emotional states.
Yu-Jin Hong, Sung Eun Choi, Gi Pyo Nam, Heeseung Choi, Junghyun Cho, Ig-Jae Kim   +5 more
doaj   +1 more source

Dynamic Facial Expression Generation on Hilbert Hypersphere with Conditional Wasserstein Generative Adversarial Nets

, 2020
In this work, we propose a novel approach for generating videos of the six basic facial expressions given a neutral face image. We propose to exploit the face geometry by modeling the facial landmarks motion as curves encoded as points on a hypersphere ...
Ballihi, Lahoucine, Berretti, Stefano, Daoudi, Mohamed, Kacem, Anis, Otberdout, Naima   +4 more
core   +1 more source

Training deep networks for facial expression recognition with crowd-sourced label distribution [PDF]

International Conference on Multimodal Interaction, 2016
Crowd sourcing has become a widely adopted scheme to collect ground truth labels. However, it is a well-known problem that these labels can be very noisy.
Emad Barsoum, Cha Zhang, C. Canton-Ferrer, Zhengyou Zhang   +3 more
semanticscholar   +1 more source

ON FACIAL EXPRESSION IN THE DEAD. [PDF]

The Lancet, 1918
n ...
openaire   +3 more sources

Reproducibility of the dynamics of facial expressions in unilateral facial palsy [PDF]

, 2018
The aim of this study was to assess the reproducibility of non-verbal facial expressions in unilateral facial paralysis using dynamic four-dimensional (4D) imaging. The Di4D system was used to record five facial expressions of 20 adult patients.
Alagha, Mahmoud Amir, Ayoub, Ashraf, Ju, Xiangyang, Morley, Stephen   +3 more
core   +1 more source

Geometric Feature-Based Facial Expression Recognition in Image Sequences Using Multi-Class AdaBoost and Support Vector Machines

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

Facial Expression Manipulation for Personalized Facial Action Estimation

Frontiers in Signal Processing, 2022
Limited sizes of annotated video databases of spontaneous facial expression, imbalanced action unit labels, and domain shift are three main obstacles in training models to detect facial actions and estimate their intensity.
Koichiro Niinuma, Itir Onal Ertugrul, Jeffrey F. Cohn, László A. Jeni   +3 more
doaj   +1 more source