Panorama Stitching Using Harris Corners and SIFT

版本 1.0.0.0 (55.7 KB) 作者: Sameer Sharma
Panorama Stitching using Harris points computed using Laplacian of Gaussian (LOG) formulation
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更新时间 2015/6/9

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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.

引用格式

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. 检索来源 .

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1.0.0.0