  Inspired by kernel methods that have been used extensively in achieving
efficient facial animation retargeting, this paper presents a solution to
retargeting facial animation in virtual character's face model based on the
kernel projection of latent structure (KPLS) regression between semantically
similar facial expressions. Specifically, a given number of corresponding
semantically similar facial expressions are projected into the latent space. By
using the Nonlinear Iterative Partial Least Square method, decomposition of the
latent variables is achieved. Finally, the KPLS is achieved by solving a
kernalized version of the eigenvalue problem. By evaluating our methodology
with other kernel-based solutions, the efficiency of the presented methodology
in transferring facial animation to face models with different morphological
variations is demonstrated.
