OPTICAL MOTION CAPTURING WITH FILL-IN OF MISSING MARKER POINTS USING A HUMAN MODEL DERIVED FROM PRINCIPAL COMPONENT ANALYSIS

摘要

A system and method for cleaning a set of motion capture data, wherein the data correspond to a set of point coordinates relating to a model but may include missing or inaccurate values. A subset of the motion capture data is identified that corresponds to valid points matching locations of corresponding points of the model, and a best set of model parameters is computed in such a manner as to minimize a norm of the valid points with respect to the model. A complete set of point coordinates is then predicted based on the best set of model parameters and a subsequent set of cleaned motion capture data. Actual points are inserted where validated, and the process is iterated until a specified criterion is met.