A novel model matching method based on improved genetic algorithm is presented in this paper to improve efficiency of matching process for 3D face synthesis. New method is independent from initial values and more robust than stochastic gradient descent method. Improved genetic algorithm has strong global searching ability. Crossover and mutation probability are regulated during optimization process to improve precision and convergence speed of the algorithm. Experimental results show our new model matching method has good performance on 3D face synthesis. © 2005 by International Federation for Information Processing.
CITATION STYLE
Wang, C., Yin, B., Shi, Q., & Sun, Y. (2005). An improved 3D face synthesis based on morphable model. In IFIP Advances in Information and Communication Technology (Vol. 187, pp. 183–187). Springer New York LLC. https://doi.org/10.1007/0-387-29295-0_19
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