An effective method for human animation compression

Abstract

The research of the human animation based on motion capture is very important in the research field of computer graphics and has been widely used in a lot of applications. The animation compressing is a desiderated problem among many human animation technologies. The present paper gives a method for animation compressing. First, model and represent the motion with representative data; second, compress the motion data using the clustering method and PCA method. Using the clustering method, similar motion clips are clustered into one cluster. The virtual human then could retrieve the motion clips based on the input of the client, after that, we will decompress the motion chips, and rebuild the skinning animation to realize the render of human animation in an effective manner.