Research on construction and optimization of animation effect design model driven by dynamic light and shadow algorithm

With the rapid development of the digital animation industry, the role of dynamic light and shadow effects in improving the visual expressiveness of animation works has become increasingly prominent. However, traditional light and shadow design methods often rely on manual adjustment, which is inefficient and difficult to achieve complex dynamic effects. Therefore, this study proposes an animation effect design model based on a dynamic light and shadow algorithm, aiming at achieving efficient and realistic light and shadow effects through algorithm-driven. Firstly, the limitations of existing light and shadow algorithms in animation applications are analyzed, and then a dynamic light and shadow algorithm which combines a physical illumination model and artistic style is designed according to the characteristics of animation art. The algorithm calculates the position, intensity, and surface properties of the light source in real-time and generates light and shadow effects that conform to the animation style. In order to verify the effectiveness of the model, an experimental platform was constructed in this study, and various animation scenes were tested. The experimental results show that compared with the traditional manual design, the model improves the efficiency of light and shadow effect generation by about 60%, and at the same time, it won more than 80% of the audience’s praise in the visual effect satisfaction survey. In addition, the research also optimizes the performance of the model. By introducing parallel computing and caching mechanisms, the light and shadow generation time is further shortened, and the resource consumption is reduced. This study not only provides a new technical path for animation light and shadow design but also provides a useful reference for the research in related fields.