Results 101 to 110 of about 405,852 (280)

Covariance Pooling for Facial Expression Recognition

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2018
Classifying facial expressions into different categories requires capturing regional distortions of facial landmarks. We believe that second-order statistics such as covariance is better able to capture such distortions in regional facial fea- tures. In this work, we explore the benefits of using a man- ifold network structure for covariance pooling to
ACHARYA, D., HUANG, Zhiwu, PAUDEL, D., VAN, Gool L.   +3 more
openaire   +4 more sources

Assistive facial expression recognition for children with autism using re-enactment

Computers in Human Behavior Reports
Accurately predicting and interpreting facial expressions remains a significant challenge, particularly for individuals with social impairments or Autism Spectrum Disorder diagnoses.
Gordon Johnson, Vasileios Argyriou, Sarah Barman, Christos Politis   +3 more
doaj   +1 more source

Automatic facial expression recognition combining texture and shape features from prominent facial regions

IET Image Processing, 2023
Facial expression is one form of communication which being non‐verbal in nature precedes verbal communication in both origin and conception. Most of the existing methods for Automatic Facial Expression Recognition (AFER) are mainly focused on global ...
Naveen Kumar H N, A Suresh Kumar, Guru Prasad M S, Mohd Asif Shah   +3 more
doaj   +1 more source

Enriched Long-term Recurrent Convolutional Network for Facial Micro-Expression Recognition

, 2018
Facial micro-expression (ME) recognition has posed a huge challenge to researchers for its subtlety in motion and limited databases. Recently, handcrafted techniques have achieved superior performance in micro-expression recognition but at the cost of ...
Khor, Huai-Qian, Lin, Weiyao, Phan, Raphael C. W., See, John   +3 more
core   +1 more source

Effects of emotional expressions in recognizing unfamiliar faces

Journal of Human Environmental Studies, 2010
The role of the facial expression of emotions on face recognition was investigated by analyzing the effects of happy and angry expressions on identity and facial expression recognition memory task.
Mika Itoh, Kayoko Kihara, Sakiko Yoshikawa   +2 more
doaj   +1 more source

Facial Expression Recognition Based on Multi-dataset Neural Network [PDF]

Radioengineering, 2020
Facial activity is the most powerful and natural means for understanding emotional expression for humans. Recent years, extensive efforts have been devoted to facial expression recognition by using neural networks.
B. Yang, Z. LI, E. Cao
doaj  

Expression Conditional GAN for Facial Expression-to-Expression Translation

, 2019
In this paper, we focus on the facial expression translation task and propose a novel Expression Conditional GAN (ECGAN) which can learn the mapping from one image domain to another one based on an additional expression attribute. The proposed ECGAN is a
Chen, Xinya, Sebe, Nicu, Tang, Hao, Wang, Wei, Wu, Songsong, Xu, Dan, Yan, Yan   +6 more
core   +1 more source

Combating Uncertainty and Class Imbalance in Facial Expression Recognition [PDF]

, 2022
Jiaxiang Fan, Jian Zhou, Xiaoyu Deng, Huabin Wang, Tao Liang, Hon Keung Kwan   +5 more
openalex   +1 more source

Facial expression recognition based on anatomy

Computer Vision and Image Understanding, 2014
In this study, we propose a novel approach to facial expression recognition that capitalizes on the anatomical structure of the human face. We model human face with a high-polygon wireframe model that embeds all major muscles. Influence regions of facial muscles are estimated through a semi-automatic customization process.
Eskil, M. Taner, Benli, Kristin S.
openaire   +3 more sources

Facial length and angle feature recognition for digital libraries.

PLoS ONE
With the continuous progress of technology, facial recognition technology is widely used in various scenarios as a mature biometric technology. However, the accuracy of facial feature recognition has become a major challenge.
Shuangyan Li, Min Ji, Ming Chen, Lanzhi Chen   +3 more
doaj   +1 more source