Computer Vision for Student Competitions : Automating Image Registration

Automating Image Registration (Chapter 4) : Computer Vision Training for Student Competition Teams

https://github.com/mathworks/auvsi-cv-registration

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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.

Cite As

MathWorks Student Competitions Team (2026). Computer Vision for Student Competitions : Automating Image Registration (https://github.com/mathworks/auvsi-cv-registration), GitHub. Retrieved .

General Information

MATLAB Release Compatibility

  • Compatible with any release

Platform Compatibility

  • Windows
  • macOS
  • Linux

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Version Published Release Notes Action
15.1.1.0

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To view or report issues in this GitHub add-on, visit the GitHub Repository.