Module 5 Feature Detection and Matching - iffatAGheyas/computer-vision-handbook GitHub Wiki

📌 Module 5: Feature Detection & Matching

In this module, we explore how to identify and describe distinctive points in images—and how to match them across different views. You’ll learn classic corner detectors, delve into powerful keypoint descriptors, compare matching strategies, and see how geometry (homographies) lets us warp and align images.

📑 Contents

  1. Corner Detectors (Harris, Shi–Tomasi)
  2. Keypoints and Descriptors (SIFT, SURF, ORB)
  3. Feature Matching (Brute-Force, FLANN)
  4. Homographies & Transformations