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FACIAL EXPRESSION SYNTHESIS BASED ON FACIAL COMPONENT MODEL
International Journal of Pattern Recognition and Artificial Intelligence, 2009Statistical model based facial expression synthesis methods are robust and can be easily used in real environment. But facial expressions of humans are varied. How to represent and synthesize expressions that are is not included in the training set is an unresolved problem in statistical model based researches.
LEI XIONG +3 more
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Synthesis of Realistic Facial Expressions Using Expression Map
IEEE Transactions on Multimedia, 2019For 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
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Speech-Driven Automatic Facial Expression Synthesis
2008 3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video, 2008This 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 +5 more
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Automatic Synthesis of Realistic Facial Expressions
2007 IEEE International Symposium on Signal Processing and Information Technology, 2007Facial 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 +3 more
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U-Net Conditional GANs for Photo-Realistic and Identity-Preserving Facial Expression Synthesis
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP), 2019Facial expression synthesis (FES) is a challenging task since the expression changes are highly non-linear and depend on the facial appearance. Person identity should also be well preserved in the synthesized face.
Xueping Wang, Yunhong Wang, Weixin Li
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Realistic Tree-Dimensional Facial Expression Synthesis
2011 Third International Conference on Intelligent Human-Machine Systems and Cybernetics, 2011Facial 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
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Facial Expression Synthesis and Animation
2011Living 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 +2 more
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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., 2004In 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 +2 more
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Expressive Facial Animation Synthesis by Learning Speech Coarticulation and Expression Spaces
IEEE Transactions on Visualization and Computer Graphics, 2006Synthesizing 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 +5 more
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Double Encoder Conditional GAN for Facial Expression Synthesis
Cybersecurity and Cyberforensics Conference, 2018Photorealistic facial expression synthesis from single face image is already a highly challenging research work, in part due to a paucity of labeled and paired facial expression samples.
Mingyi Chen +4 more
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