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computer vision: local feature matching

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 

  1. harris corner detector to detect interest points in an image

  2. SIFT-like feature description returning 128-dimensional feature vectors

  3. feature matching based on the nearest neighbor ratios for the features

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