this is a project from my cs 4476 computer vision class. since this is school work, i cannot publically post my code, but here is my project website describing how i have implemented the following algorithms.
my implementation includes three main algorithms: ย
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harris corner detector to detect interest points in an image
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SIFT-like feature description returning 128-dimensional feature vectors
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feature matching based on the nearest neighbor ratios for the features