Cartoon Image Design System Based on Genetic Optimization Algorithm

In this paper, evolutionary computing technology is applied to the innovative design of animation image, and a new method of computer-aided generation of 3D animation character image is proposed. Then an intelligent 3DMAX system of animation character image design based on NURBS is established. Aiming at the problem of quickly generating multiple models from one made model, and ensuring that the appearance of each model is not exactly the same, we study the method of NURBS modeling, and put forward the method of group generation of NURBS model based on genetic algorithm optimization. At last, we use such method to generate a large number of cartoon models in Maya to make clustering animation, and to detect the effect of clustering algorithm and following leader algorithm. The experimental data show that the fitting accuracy of NURBS curve has been greatly improved, and the shortcomings of low efficiency and low simulation degree encountered in group character modeling can be solved.