Optimization of 3D Animation Design Based on Support Vector Machine Algorithm

Abstract

3D ink animation is not only a form of animation art, but also a vital way to spread China traditional art. Based on SVM (Support vector machine) algorithm, this article explores the optimization method of 3D animation CAD (Computer aided design) for ink painting effect. In this article, a feature selection algorithm of ink painting image based on SVM is proposed, and SVM is applied to the defect identification of ink painting tomography image. At the same time, the 3D virtual image of ink painting is reconstructed in the computer, and the 3D defects of ink painting are further identified by SVM. The final simulation results show that the accuracy of this method is high and the error is low. The highest accuracy can reach 94.89%, and the error is only about 0.27. In addition, the response speed of this method is fast, generally only 0.37s. Compared with GA (genetic algorithm) and PSO (particle swarm optimization), the improved SVM method in this article highlights many advantages, which can provide certain technical support for 3D animation CAD optimization of ink painting effect.