Results 171 to 180 of about 231 (215)

Analysis-based facial expression synthesis

Proceedings of 1st International Conference on Image Processing, 2002
We describe an approach to synthesizing human expressions based on 3D face model and the facial motion parameters obtained by tracking the model vertices in real expression sequences. The synthetic sequences of different expressions can be generated by deforming the face model using these motion parameters.
null Li-An Tang, T.S. Huang
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Perception-driven facial expression synthesis

Computers & Graphics, 2012
We propose a novel platform to flexibly synthesize any arbitrary meaningful facial expression in the absence of actor performance data for that expression. With techniques from computer graphics, we synthesized random arbitrary dynamic facial expression animations.
Yu, Hui, Garrod, O., Schyns, P.
openaire   +2 more sources

Synthesis of Realistic Facial Expressions Using Expression Map

IEEE Transactions on Multimedia, 2019
For synthesis of realistic facial expressions displaying emotions, we need an efficient representation of pure (e.g., surprise ) as well as mixed (e.g., happily surprised ) emotional expressions. In this paper, we train an expression map (XM) that efficiently represents the emotional expressions.
Swapna Agarwal, Dipti Prasad Mukherjee
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

Expressive Facial Animation Synthesis by Learning Speech Coarticulation and Expression Spaces

IEEE Transactions on Visualization and Computer Graphics, 2006
Synthesizing expressive facial animation is a very challenging topic within the graphics community. In this paper, we present an expressive facial animation synthesis system enabled by automated learning from facial motion capture data. Accurate 3D motions of the markers on the face of a human subject are captured while he/she recites a predesigned ...
Zhigang, Deng, Ulrich, Neumann, J P, Lewis, Tae-Yong, Kim, Murtaza, Bulut, Shrikanth, Narayanan   +5 more
openaire   +2 more sources

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
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Synthesis of emotional expressions specific to facial structure

Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing, 2012
Imposing expressions on expression-neutral human face images is an interesting application of human-computer-interaction, animation, entertainment and other such fields. The objective of this paper is to impose one of the six prototypic emotional expressions i.e., Joy, Surprise, Disgust, Fear, Anger and Sorrow to a given expression-neutral face image ...
Swapna Agarwal, Moitreya Chatterjee, Dipti Prasad mukherjee   +2 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
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Bilinear factorisation for facial expression analysis and synthesis

IEE Proceedings - Vision, Image, and Signal Processing, 2005
This paper addresses the issue of face representations for facial expression recognition and synthesis. In this context, a global active appearance model is used in conjunction with two bilinear factorisation models to separate expression and identity factors from the global appearance parameters.
B. Abboud, F. Davoine
openaire   +1 more source