Epipolar Geometry Problem in Images

This high-quality code implementation serves as an excellent resource for understanding and learning the epipolar constraint method, enabling deep exploration of epipolar geometry problems in images. The core problem involves solving point correspondence relationships and camera geometric relationships through epipolar line constraints. Through studying this implementation, you will learn how to utilize epipolar constraints to extract feature points from images and calculate camera pose using these feature points. The code demonstrates practical implementation of fundamental computer vision algorithms including feature point detection (using methods like SIFT or ORB), fundamental matrix computation (via techniques such as the 8-point algorithm or RANSAC), and camera pose estimation. This challenging yet fascinating problem is presented through well-structured code that provides exceptional learning and comprehension opportunities for understanding stereo vision geometry constraints.