Computer Vision for Student Competitions : Automating Image Registration

Automating Image Registration (Chapter 4) : Computer Vision Training for Student Competition Teams
804 Downloads
Aktualisiert 12 Okt 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.

Zitieren als

MathWorks Student Competitions Team (2024). Computer Vision for Student Competitions : Automating Image Registration (https://github.com/mathworks/auvsi-cv-registration), GitHub. Abgerufen .

Kompatibilität der MATLAB-Version
Erstellt mit R2015a
Kompatibel mit allen Versionen
Plattform-Kompatibilität
Windows macOS Linux

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Versionen, die den GitHub-Standardzweig verwenden, können nicht heruntergeladen werden

Version Veröffentlicht Versionshinweise
15.1.1.0

Description updated
Adding files to entry

Um Probleme in diesem GitHub Add-On anzuzeigen oder zu melden, besuchen Sie das GitHub Repository.
Um Probleme in diesem GitHub Add-On anzuzeigen oder zu melden, besuchen Sie das GitHub Repository.