A machine learning method includes for each of a predetermined number of slices divided from point cloud data including a target of gait recognition, determining whether a corresponding slice includes a point out of a distribution that deviates from the distribution of the target, maintaining a point slice determined not to include the point out of the distribution, obtaining a filtered slice by filtering the corresponding slice determined to include the point out of the distribution to remove the point out of the distribution, and merging the point slice determined not to include the point out of the distribution and the filtered slice with each other to reconstitute the point cloud data and generate disentanglement data.
Full Text
What is claimed is: