Automatic segmentation of motion capture data based on KPCA
Chen Si-x · Fuzhou daxue xuebao. Ziran kexue ban · 2015
Motion capture data usually in high dimensions,which needs large amount of computation in motion clip segmentation. The accuracy of manual method is relatively high,but low efficient. In this paper,author carry out an automatic segmentate method by using Algorithm KPCA and PPCA to mapping 56 dimensional data into 2 dimensional Coordinate system,and constructing the feature function of projection error derivative to quantify geometric variables of data,and figure out the segmentate point.