Applying a warping transformation using the homography matrix obtained from Step #3.Using the RANSAC algorithm to estimate a homography matrix using our matched feature vectors.Matching the descriptors between the images.Detecting keypoints (DoG, Harris, etc.) and extracting local invariant descriptors (SIFT, SURF, etc.) from two input images.Just under two years ago I published two guides on image stitching and panorama construction:īoth of these tutorials covered the fundamentals of the typical image stitching algorithm, which, at a bare minimum, require four key steps: Using today’s code you’ll be able to stitch multiple images together, creating a panorama of stitched images. In this tutorial, you will learn how to perform image stitching using Python, OpenCV, and the cv2.createStitcher and cv2.Stitcher_create functions. Click here to download the source code to this post
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