Computer Vision for Student Competitions : Automating Image Registration
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 .
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- Image Processing and Computer Vision > Image Processing Toolbox > Geometric Transformation and Image Registration >
- Image Processing and Computer Vision > Computer Vision Toolbox > Point Cloud Processing > Display Point Clouds >
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Version | Veröffentlicht | Versionshinweise | |
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15.1.1.0 | Description updated
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