![]() ![]() ![]() The algorithm we’ll be using here today is similar to the method proposed by Brown and Lowe in their 2007 paper, Automatic Panoramic Image Stitching with Invariant Features. OpenCV’s image stitching algorithm Figure 1: The stitching module pipeline implemented in the Stitcher class ( source). We’ll review the results of this first script, note its limitations, and then implement a second Python script that can be used for more aesthetically pleasing image stitching results.įinally, we’ll review the results of our second script and again note any limitations or drawbacks. In the first part of today’s tutorial, we’ll briefly review OpenCV’s image stitching algorithm that is baked into the OpenCV library itself via cv2.createStitcher and cv2.Stitcher_create functions.įrom there we’ll review our project structure and implement a Python script that can be used for image stitching. Looking for the source code to this post? Jump Right To The Downloads Section Image Stitching with OpenCV and Python To learn how to stitch images with OpenCV and Python, just keep reading! In today’s tutorial, we’ll be revisiting image stitching with OpenCV, including how to stitch more than two images together into a panoramic image. However, the biggest problem with my original implementations is that they were not capable of handling more than two input images. ![]() 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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