Extension of AAM with 3D shape model for facial shape tracking

This paper represents a 3D model-based object tracking algorithm to extract rigid and non-rigid motion of an object simultaneously. Previous AAM is extended by replacing 2D shape model with 3D shape model, and appropriate model fitting algorithm is derived. Proposed algorithm is applied to face tracking in video sequence to extract nonrigidly deforming facial shape.