2D&3D Feature Tracking

2D and 3D feature tracking are techniques used in computer vision to follow specific visual details—called features—in images or videos over time. In 2D tracking, features are followed within flat images, monitoring how they move across successive frames. 3D tracking extends this by analyzing multiple images or sensor data to understand how features move in three-dimensional space, capturing depth and spatial relationships. These methods are essential for applications like robotics, augmented reality, and motion analysis, helping computers interpret dynamic environments accurately by tracking points or objects in two or three dimensions.