Panorama Stitching Using Harris Corners and SIFT

Panorama Stitching using Harris points computed using Laplacian of Gaussian (LOG) formulation
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Updated 9 Jun 2015

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-> The submitted routines can be used to stitch panoramas using any number of input images. There are two main files depending on the input images if colored or gray-scale-- "SIFT_allImages_stitch_new11" and "SIFT_allImages_stitch_new_colored".
Description along with the procedure :
1) Detect features : The most stable Harris points estimated using the Scale-space maximization of the Laplacian of Gaussian (LOG) formulation. The estimation is carried out using the function "Harris_Laplace_fn.m"
2) Using VLFEAT associate SIFT descriptor to the identified corners.
3) Match the corresponding points using the SIFT descriptors.
4) Compute Homography using the matched points. The function is "RANSAC.m"
5) Stitch images using the CANVAS approach
- > The figures are defined at specific locations and can be enabled to visualize the corners or the matched points.

Cite As

Sameer Sharma (2024). Panorama Stitching Using Harris Corners and SIFT (https://www.mathworks.com/matlabcentral/fileexchange/51125-panorama-stitching-using-harris-corners-and-sift), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2014b
Compatible with any release
Platform Compatibility
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Version Published Release Notes
1.0.0.0