Harris Corner Detector

Jordan Hughes

UC Santa Barbara

hughesj919 at gmail.com

This is a python based harris corner detector. OpenCV module is used to read images in

Usage example is as follows:

python Corners.py —-window_size 5 —-k_corner_response .04 —-corner_threshold 10000 checkerboard.png

The script will run and print some parameter values for verification purposes. For more help with the code run pydoc HarrisCorner at a terminal. The script will run and output a few parameters for validation purposes. File output will be:

• finalimage.png — This will be an image with red boxes of window size indicating corner detection
• corners.txt — A list of the top 100 corners with the highest corner response values, r.

A Harris Corner Detector

Corner detection in images has many applications ranging from panoramic stitching to tracking to object recognition. This is a simple script that implements a Harris Corner detection algorithm. For more information on the algorithm itself, see the following links:

• Harris Corner Detector Lecture
• Harris and Stephens Corner Detection Wiki
• A Combined Corner and Edge Detector

This is our original image:

This is our final image: