Computer Vision for Student Competitions : Automating Image Registration
Updated 12 Oct 2017
Learn to estimate geometric transforms, apply the transform, and specify image coordinates using panoramic stitching as an example.
You’ll start by performing feature matching between two consecutive images and estimating the geometric transform between two images. The two images will be superimposed onto a larger image to create a super image that encompasses both images. This workflow will be demonstrated on a video of a panning vehicle to create a panoramic image.
Besides learning how to perform image stitching, learning how to estimate geometric transformations enables the user to perform accurate object detection and estimate the motion of an object within a scene.
MathWorks Student Competitions Team (2021). Computer Vision for Student Competitions : Automating Image Registration (https://github.com/mathworks/auvsi-cv-registration), GitHub. Retrieved .
MATLAB Release Compatibility
Platform CompatibilityWindows macOS Linux
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!Start Hunting!