Results 241 to 250 of about 125,758 (275)

Speech-Driven Automatic Facial Expression Synthesis

2008 3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video, 2008
This paper focuses on the problem of automatically generating speech synchronous facial expressions for 3D talking heads. The proposed system is speaker and language independent. We parameterize speech data with prosody related features and spectral features together with their first and second order derivatives. Then, we classify the seven emotions in
Elif Bozkurt, Cigdem Eroglu Erdem, Engin Erzin, Tanju Erdem, Mehmet Ozkan, A. Murat Tekalp   +5 more
openaire   +1 more source

Automatic Synthesis of Realistic Facial Expressions

2007 IEEE International Symposium on Signal Processing and Information Technology, 2007
Facial expressions exhibit not only facial feature motions, but also subtle changes in illumination and appearance. Since it is difficult to generate realistic facial expressions by using only geometric deformations, the details such as textures should also be deformed to achieve expression that is more realistic.
Jeong Ho Lee, Jong Min Lee, Hyung Jin Kim, Young Shik Moon   +3 more
openaire   +1 more source

Facial expression synthesis based on similar faces

Multimedia Tools and Applications, 2021
Facial expression synthesis has several applications involving animation, human-computer interaction, entertainment, and training people with mental disorders. Facial expression synthesis aims to alter an image’s facial expression, usually by reenacting the facial movements from an example image in the target image. Deformation-based approaches usually
Rafael Luiz Testa, Ariane Machado-Lima, Fátima L. S. Nunes   +2 more
openaire   +1 more source

Manifold-enhanced CycleGAN for facial expression synthesis

The Imaging Science Journal, 2022
Facial expressions contain a great deal of information in inter-personal communication and social interaction and have a great impact on face recognition. This paper investigates expression synthesis methods based on deep learning and their performance in expression classification and face recognition.
Yating Huang, Hujun Yin
openaire   +1 more source

Realistic Tree-Dimensional Facial Expression Synthesis

2011 Third International Conference on Intelligent Human-Machine Systems and Cybernetics, 2011
Facial expression synthesis is an important part of the visual human-computer interaction. In order to establish a highly realistic, self-adaptive and automatic real-time facial expression synthesis system, this paper proposes a method based on MPEG-4 to generate three-dimensional facial expression animation.
Junpei Wang, Yanfeng Sun
openaire   +1 more source

Facial Expression Synthesis and Animation

2011
Living in a computer era, the synergy between man and machine is a must, as the computers are integrated into our everyday life. The computers are surrounding us but their interfaces are far from being friendly. One possible approach to create a friendlier human-computer interface is to build an emotion-sensitive machine that should be able to ...
Ioan Buciu, Ioan Nafornita, Cornelia Gordan   +2 more
openaire   +1 more source

Interactive analysis and synthesis of facial expressions based on personal facial expression space

Sixth IEEE International Conference on Automatic Face and Gesture Recognition, 2004. Proceedings., 2004
In this paper novel methods for interactive facial expression analysis and synthesis are presented based on personal facial expression space (PFES). We proposed PFES to recognize person-specific, primary facial expression image sequences by both temporal and spatial characteristics taken into consideration.
N.P. Chandrasiri, T. Naemura, H. Harashima   +2 more
openaire   +1 more source

Multi-expression Generative Adversarial Networks for Facial Expression Synthesis

2019 11th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA), 2019
Facial expression synthesis has always been a research hotspot in the field of computer vision and graphics. The facial expressions are complex and vary from person to person. It is a challenging task to synthesize a rich and diverse facial expression. In this paper, we propose a novel network framework: Multi-Expression Generative Adversarial Network (
Hailan Kuang, Zhuo Chen, Xiaolin Ma, Xinhua Liu   +3 more
openaire   +1 more source

Evolutionary feature synthesis for facial expression recognition

Pattern Recognition Letters, 2006
Feature extraction is one of the key steps in object recognition. In this paper we propose a novel genetically inspired learning method for facial expression recognition (FER). Unlike current research on facial expression recognition that generally selects visually meaningful feature by hands, our learning method can discover the features automatically
Jiangang Yu, Bir Bhanu
openaire   +1 more source

Facial expression synthesis from a single image

2014 IEEE International Conference on Consumer Electronics - Taiwan, 2014
Facial expression synthesis has drawn a lot of attention in many applications, such as facial animation and human-computer interactions. Some expression synthesis methods are conducted in 2D domain where only images are taken as input but the muscle deformation is usually neglected regardless of different expressions.
Man-Chia Chang, Ming-Sui Lee
openaire   +1 more source