Results 11 to 20 of about 117,801 (25)

A Survey of the Trends in Facial and Expression Recognition Databases and Methods [PDF]

International Journal of Computer Science & Engineering Survey, 2015, 6, 1-19, 2015
Automated facial identification and facial expression recognition have been topics of active research over the past few decades. Facial and expression recognition find applications in human-computer interfaces, subject tracking, real-time security surveillance systems and social networking.
arxiv   +1 more source

Facial Expression Restoration Based on Improved Graph Convolutional Networks [PDF]

, 2019
Facial expression analysis in the wild is challenging when the facial image is with low resolution or partial occlusion. Considering the correlations among different facial local regions under different facial expressions, this paper proposes a novel facial expression restoration method based on generative adversarial network by integrating an improved
arxiv   +1 more source

Facial Dynamics Interpreter Network: What are the Important Relations between Local Dynamics for Facial Trait Estimation? [PDF]

arXiv, 2017
Human face analysis is an important task in computer vision. According to cognitive-psychological studies, facial dynamics could provide crucial cues for face analysis. The motion of a facial local region in facial expression is related to the motion of other facial local regions.
arxiv  

3D Facial Action Units Recognition for Emotional Expression [PDF]

arXiv, 2017
The muscular activities caused the activation of certain AUs for every facial expression at the certain duration of time throughout the facial expression. This paper presents the methods to recognise facial Action Unit (AU) using facial distance of the facial features which activates the muscles. The seven facial action units involved are AU1, AU4, AU6,
arxiv  

Cascade EF-GAN: Progressive Facial Expression Editing with Local Focuses [PDF]

arXiv, 2020
Recent advances in Generative Adversarial Nets (GANs) have shown remarkable improvements for facial expression editing. However, current methods are still prone to generate artifacts and blurs around expression-intensive regions, and often introduce undesired overlapping artifacts while handling large-gap expression transformations such as ...
arxiv  

Unifying Geometric Features and Facial Action Units for Improved Performance of Facial Expression Analysis [PDF]

arXiv, 2016
Previous approaches to model and analyze facial expression analysis use three different techniques: facial action units, geometric features and graph based modelling. However, previous approaches have treated these technique separately. There is an interrelationship between these techniques.
arxiv  

Accurate Facial Parts Localization and Deep Learning for 3D Facial Expression Recognition [PDF]

arXiv, 2018
Meaningful facial parts can convey key cues for both facial action unit detection and expression prediction. Textured 3D face scan can provide both detailed 3D geometric shape and 2D texture appearance cues of the face which are beneficial for Facial Expression Recognition (FER).
arxiv  

Fine-Grained Facial Expression Analysis Using Dimensional Emotion Model [PDF]

arXiv, 2018
Automated facial expression analysis has a variety of applications in human-computer interaction. Traditional methods mainly analyze prototypical facial expressions of no more than eight discrete emotions as a classification task. However, in practice, spontaneous facial expressions in naturalistic environment can represent not only a wide range of ...
arxiv  

Knowledge-Enhanced Facial Expression Recognition with Emotional-to-Neutral Transformation [PDF]

arXiv
Existing facial expression recognition (FER) methods typically fine-tune a pre-trained visual encoder using discrete labels. However, this form of supervision limits to specify the emotional concept of different facial expressions. In this paper, we observe that the rich knowledge in text embeddings, generated by vision-language models, is a promising ...
arxiv  

All-In-One: Facial Expression Transfer, Editing and Recognition Using A Single Network [PDF]

arXiv, 2019
In this paper, we present a unified architecture known as Transfer-Editing and Recognition Generative Adversarial Network (TER-GAN) which can be used: 1. to transfer facial expressions from one identity to another identity, known as Facial Expression Transfer (FET), 2.
arxiv