Syllabus

  1. Image formation and low-level vision

    1. Camera models

    2. Light and color

    3. Linear filters and edges

    4. Feature extraction

    5. Optical flow and feature tracking

  2. Grouping and fitting

    1. Least squares fitting, robust fitting

    2. RANSAC

    3. Alignment, image stitching

  3. Geometric vision

    1. Camera calibration

    2. Epipolar geometry

    3. Two-view and multi-view stereo

    4. Structure from motion

  4. Recognition and beyond

    1. Statistical learning framework

    2. Neural Networks

    3. Object Detection

    4. Segmentation

    5. Other advanced topics