In this paper, we introduce a novel method of automatically finding the training set of RBF networks for morphing a prototype face to represent a new face. This is done by automatically specifying and adjusting corresponding feature points on a target face. The RBF networks are then used to transfer the muscles on the prototype face to the morphed face. The automatic adjusting of the feature points on the target face is done by Genetic Algorithms. The fitness function used in the GA expresses the difference between the surface of the morphed face and the target face. We also present an algorithm to calculate this function fast.
|Title of host publication||Proceedings of the 6th IASTED International Conference on Computers, Graphics, and Imaging (CGIM 2003)|
|Place of Publication||Anaheim/Calgary/Zurich|
|Number of pages||6|
|Publication status||Published - 13 Aug 2003|
|Event||6th IASTED International Conference on Computers, Graphics, and Imaging, CGIM 2003 - Honolulu, United States|
Duration: 13 Aug 2003 → 15 Aug 2003
Conference number: 6
|Conference||6th IASTED International Conference on Computers, Graphics, and Imaging, CGIM 2003|
|Period||13/08/03 → 15/08/03|
- HMI-VRG: Virtual Reality and Graphics
- Geometric Modelling
- Radial BasisFunctions
- Facial Animation
- Genetic Algorithms
Bui Huu Trung, B. H. T., Bui, T. D., Poel, M., Heylen, D. K. J., & Nijholt, A. (2003). Automatic face morphing for transferring facial animation. In H. M. Hamza (Ed.), Proceedings of the 6th IASTED International Conference on Computers, Graphics, and Imaging (CGIM 2003) (pp. 19-24). Anaheim/Calgary/Zurich: ACTA Press.