3D human motion retrieval using graph kernels based on adaptive graph construction
We propose a novel adaptive graph model for representation of 3D human motions. We propose an AGK to measure the similarity of two adaptive graphs. We propose a method which allows AGK set weights to the different matched walk groups.
motion retrieval graph kernel adaptive graph motion capture multiple kernel learning