Facial Tracking by Gaussian Process
Lei Wang, Beiji Zou, Peng Xiao-ning, Lili Pan · Dianzi xuebao · 2007
Facial Action Units(FAU)tracking is a hard problem for the rigid and non-rigid transformations of human face. The constantly trembling in the tracking result and the tracking failures caused by the absence of constraint remain open problems. This paper presents a novel method to attack these problems by combining Gaussian Process and Particle Filtering.Gradient-based method and particle filtering based method are compared with our method and the experiment results are encouraging.