Using GPLVM for Inverse Kinematics on Non-cyclic Data
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چکیده
We apply the Gaussian Process Latent Variable Model (GPLVM) to tackle the inverse kinematic problem in character animation during a ball catching scenario. The goal is to generate realistic upper-body movements with only the tip of the hand specified as the constraint. We ran a series of motion capture experiments to capture the body movement in a subject as he performs a ball catching task and then learn a scaled GPLVM. The ball catching scenario allows us to test the use of GPLVM to represent non-cyclic set of movements with plenty of style variation.
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