Summary
Facial landmark tracking and 3D reconstruction are popular and well-studied fields in the intersection of computer vision, graphics, and machine learning. Despite their countless applications such as human-computer interaction, facial expressions analysis, and emotion recognition, existing camera-based solutions require users to be confined to a particular location and face a camera at all times without occlusions. This highly constrained setting prevents them from being deployed in many emerging application scenarios, in which users are likely to engage in three-dimensional body/head movement
