Discuss the difference between image registration and image rectification? List the possible primitives that could be used and the source of the primitives.

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⚹ Image registration and image rectification are two processes used in image processing and computer vision, but they serve different purposes and are based on different principles ⚹ ⚹ Image registration is the process of aligning two or more images of the same scene taken at different times, from different viewpoints, or by different sensors ⚹ ⚹ Image rectification, on the other hand, is the process of transforming images to a common plane so that the line of sight becomes parallel to a baseline, which is particularly useful in stereo vision to simplify the problem of finding corresponding points in image pairs ⚹ ∻Possible primitives for image registration and their sources∻ ‖ ▪ ⋮ Points: Features like corners or interesting points detected using algorithms such as SIFT, SURF, or ORB ‖ ‖ ▪ ⋮ Lines: Edges detected using edge detection algorithms like Canny or Sobel operator ‖ ‖ ▪ ⋮ Contours: Boundaries of objects found using contour detection methods ‖ ‖ ▪ ⋮ Surfaces: Surface patches identified through methods like template matching or plane fitting ‖ ‖ ▪ ⋮ Intensity patterns: Direct pixel intensity comparisons for template matching or block matching ‖ ∻Possible primitives for image rectification and their sources∻ ‖ ▪ ⋮ Epipolar lines: Derived from the fundamental matrix or essential matrix in stereo vision ‖ ‖ ▪ ⋮ Homography: Computed from point correspondences for planar scenes or from camera calibration data ‖ ‖ ▪ ⋮ Disparity map: Generated from stereo matching algorithms to find pixel correspondences between stereo images ‖ ⚹ The sources of these primitives are typically the images themselves, where feature detection algorithms are applied to extract the necessary information for registration or rectification ⚹

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