Superior Facial Expression, But Not Identity Recognition, in Mirror-Touch Synesthesia [PDF]
Simulation models of expression recognition contend that to understand another's facial expressions, individuals map the perceived expression onto the same sensorimotor representations that are active during the experience of the perceived emotion.
Banissy, Michael J +5 more
core +2 more sources
Training deep networks for facial expression recognition with crowd-sourced label distribution [PDF]
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 +3 more
semanticscholar +1 more source
The Effect of the Ensemble Average of Facial Expressions on Subsequent Facial Expression Recognition [PDF]
AbstractAn ensemble or statistical summary can be extracted from facial expressions presented in different spatial locations simultaneously. However, how such complicated objects are represented in the mind is not clear. It is known that the aftereffect of facial expressions, in which prolonged viewing of facial expressions biases the perception of ...
Kazusa Minemoto +2 more
openaire +2 more sources
Multi-Modal CNN Features Fusion for Emotion Recognition: A Modified Xception Model
Facial expression recognition (FER) is advancing human-computer interaction, especially, today, where facial masks are commonly worn due to the COVID-19 pandemic.
H. M. Shahzad +4 more
doaj +1 more source
Impact of Facial Landmark Localization on Facial Expression Recognition [PDF]
Although facial landmark localization (FLL) approaches are becoming increasingly accurate for characterizing facial regions, one question remains unanswered: what is the impact of these approaches on subsequent related tasks? In this paper, the focus is put on facial expression recognition (FER), where facial landmarks are used for face registration ...
Romain Belmonte +5 more
openaire +5 more sources
On-Road Driver Emotion Recognition Using Facial Expression
With the development of intelligent automotive human-machine systems, driver emotion detection and recognition has become an emerging research topic. Facial expression-based emotion recognition approaches have achieved outstanding results on laboratory ...
Huafei Xiao +7 more
doaj +1 more source
Inversion improves the recognition of facial expression in thatcherized images [PDF]
The Thatcher illusion provides a compelling example of the face inversion effect. However, the marked effect of inversion in the Thatcher illusion contrasts to other studies that report only a small effect of inversion on the recognition of facial ...
Bruce V. +5 more
core +2 more sources
Coherence constraints in facial expression recognition [PDF]
This paper investigates the role of coherence constraints in recognizing facial expressions from images and video sequences. A set of constraints are introduced to bridge a pool of Convolutional Neural Networks (CNNs) during their training stage. Constraints are inspired by practical considerations on the regularity of the temporal evolution of the ...
Graziani L., Melacci S., Gori M.
openaire +3 more sources
An expression recognition algorithm based on convolution neural network and RGB-D Images
Aiming at the problem of recognition effect is not stable when 2D facial expression recognition in the complex illumination and posture changes. A facial expression recognition algorithm based on RGB-D dynamic sequence analysis is proposed. The algorithm
binghua HE +5 more
doaj +1 more source
VGAN-Based Image Representation Learning for Privacy-Preserving Facial Expression Recognition [PDF]
Reliable facial expression recognition plays a critical role in human-machine interactions. However, most of the facial expression analysis methodologies proposed to date pay little or no attention to the protection of a user's privacy. In this paper, we
Chen, Jiawei +2 more
core +1 more source

