Feature-based image metamorphosis
SIGGRAPH '92 Proceedings of the 19th annual conference on Computer graphics and interactive techniques
Building highly realistic facial modeling and animation: a survey
The Visual Computer: International Journal of Computer Graphics
Automatic morphing of face images
ICANNGA'09 Proceedings of the 9th international conference on Adaptive and natural computing algorithms
Expressive MPEG-4 Facial Animation Using Quadratic Deformation Models
CGIV '10 Proceedings of the 2010 Seventh International Conference on Computer Graphics, Imaging and Visualization
A Survey of Computer Facial Animation Techniques
ICCSEE '12 Proceedings of the 2012 International Conference on Computer Science and Electronics Engineering - Volume 03
The CAS-PEAL Large-Scale Chinese Face Database and Baseline Evaluations
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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In this paper we propose an approach for generating personalized facial expression image from one expressionless full-face photo. For each given expressionless photo, image standardization needs to be done. The feature points of facial expression are defined and extracted. And neural network model is built to predict the facial feature point relative offset of expression image. Then the prediction results are used to process the deformation from expressionless image to the expression image. The happy and angry expression binary images are automatically generated from expressionless binary images in our experiment. Experimental results show that the proposed method can generate realistic and personalized facial expression images in real time. The work will offers a reference to the future research for personalized 2D web virtual human facial expression animation generation.