Facial expression recognition via a boosted deep belief network
A training process for facial expression recognition is usually performed sequentially in three
individual stages: feature learning, feature selection, and classifier construction. Extensive …
individual stages: feature learning, feature selection, and classifier construction. Extensive …
Modeling stylized character expressions via deep learning
We propose DeepExpr, a novel expression transfer approach from humans to multiple
stylized characters. We first train two Convolutional Neural Networks to recognize the …
stylized characters. We first train two Convolutional Neural Networks to recognize the …
Intra-class variation reduction using training expression images for sparse representation based facial expression recognition
SH Lee, KN Plataniotis, YM Ro - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
Automatic facial expression recognition (FER) is becoming increasingly important in the
area of affective computing systems because of its various emerging applications such as …
area of affective computing systems because of its various emerging applications such as …
Sparse simultaneous recurrent deep learning for robust facial expression recognition
M Alam, LS Vidyaratne… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Facial expression recognition is a challenging task that involves detection and interpretation
of complex and subtle changes in facial muscles. Recent advances in feed-forward deep …
of complex and subtle changes in facial muscles. Recent advances in feed-forward deep …
Facial action unit recognition with sparse representation
This paper presents a novel framework for recognition of facial action unit (AU) combinations
by viewing the classification as a sparse representation problem. Based on this framework …
by viewing the classification as a sparse representation problem. Based on this framework …
Feature disentangling machine-a novel approach of feature selection and disentangling in facial expression analysis
Studies in psychology show that not all facial regions are of importance in recognizing facial
expressions and different facial regions make different contributions in various facial …
expressions and different facial regions make different contributions in various facial …
Component-based recognition of facesand facial expressions
Most of the existing methods for the recognition of faces and expressions consider either the
expression-invariant face recognition problem or the identity-independent facial expression …
expression-invariant face recognition problem or the identity-independent facial expression …
An automatic 3D expression recognition framework based on sparse representation of conformal images
We propose a general and fully automatic framework for 3D facial expression recognition by
modeling sparse representation of conformal images. According to Riemann Geometry …
modeling sparse representation of conformal images. According to Riemann Geometry …
Learning to generate 3D stylized character expressions from humans
We present ExprGen, a system to automatically generate 3D stylized character expressions
from humans in a perceptually valid and geometrically consistent manner. Our multi-stage …
from humans in a perceptually valid and geometrically consistent manner. Our multi-stage …
Improving speech related facial action unit recognition by audiovisual information fusion
It is challenging to recognize facial action unit (AU) from spontaneous facial displays,
especially when they are accompanied by speech. The major reason is that the information …
especially when they are accompanied by speech. The major reason is that the information …