Automatic segmentation of motion capture data based on latent space
基于隐空间的运动捕获数据自动分割*

This paper proposed an automatic segmentation technique for motion capture data. It reduced the dimension of motion capture data with Gaussian process latent variable models, mapped the motion capture data from high-dimensional observation space to low-dimensional latent space. Construced motion character function in latent space, which had much excellence such as simple construction, sensitive to all joints, and so on. By analyzing geometry character of motion character function, it could detect the segmentation point in motion capture data, and segment the motion. Experiments show that this technique has high correct rate and well adaptation.