Research And Implementation Of 3D Model Animation Based On Motion Capture Data

As a result of the combination of computer graphics and modern art, computer animation has been widely used in many fields, such as film, advertising, games, medicine and so on. So far, there are three main types: the key frame animation, physical driven animation and data driven animation. No matter what kind of animation production method, it can not be accomplished without two parts-- role model and motion data, each section of the animation begins with the modeling of the target character, and end with the loading of the motion data.The complexity of the node attributes of role model makes the modeling process cumbersome. Capture equipment costs much,and the environmental requirements are too high, it is not easy to capture a sequence of actions. Because of the complexity of human structure, to make a natural and realistic animation is a very tedious work. Even with the help of animation software, it also need to cost a lot of time and energy to merge the model and the data. Therefore,it is a way to improve the efficiency of computer animation that understanding the format of the model file and data file first,then realize the automatic fusion process with the aid of programming.This thesis describes the production process of computer animation, explores and analyzes the most critical model files and motion data, understanding the storage format and the way to be called of the file data. And achieve the automatic fusion algorithm according to the similar tree structure of the two, reducing the workload of the process. Encoding to achieve the simulation system in the end.