Media Summary: Generic facial feature point tracking in unconstrained environments using Robust Object Tracking Via Sparse Collaborative Appearance Model Reconstructed 3D landmarks based on Augmented
Robust Active Apperance Models - Detailed Analysis & Overview
Generic facial feature point tracking in unconstrained environments using Robust Object Tracking Via Sparse Collaborative Appearance Model Reconstructed 3D landmarks based on Augmented Jonathan Kelly (University of Toronto) - The difference is night and day: learning An example of AAM tracking combined with a particle filter. In this case full recovery after the occlusion is achieved. An example of standard AAM tracking. It is not able to recover from the occlusion.
My implementation of AAM - Test 2 , for my semester project 4 (global/rigid) + 2 (norigid) shape ...
