Course Learning Outcomes
- Introducing image formation paradigms, such as camera Models, optics, sensors, calibration, radiometry and color.
- Examining early vision problems and solutions, such as image enhancement, feature extraction and optical flow estimation.
- Understanding mid-level vision including image segmentation, object tracking and multi-view geometry.
- Introducing high-level vision through learning-based algorithms.