Facial Landmark Tracking

Facial landmark tracking aims to automatically locate key points on a face across video frames, enabling applications like facial expression analysis and animation. Recent research emphasizes robust methods that handle challenging conditions like occlusions and variations in lighting, using advanced architectures such as transformers and convolutional neural networks with attention mechanisms. These models often incorporate sophisticated techniques to capture both the spatial relationships between landmarks and their temporal evolution across frames, improving accuracy and reliability. This field is crucial for advancing human-computer interaction, healthcare diagnostics (e.g., detecting subtle physiological changes), and security applications.