3D Motion Reconstruction and Integration Based on Non-Linear Subspace

In this paper, we project the body motion to a lower-dimensional subspace with the dimensionality deduction method to get the inner structure of motion. The lower dimension non-linear projection in the subspace with the ISOMAP manifold learning method successfully construct the motion time model and form the new motion style. Experiment results show that the approaches are effective to process 3D human motion