Goal: Learn to implement Harris corner detector

• Practice Harris corner detector by OpenCV
• Understand the effect of parameters of Harris detector

Readings and sample codes

• OpenCV 3.4.x tutorial on harris corner detector
  • You have to run this tutorial code with cornerHarris function and get different results by changing values of the three parameters: k, ksize, blockSize.
• (optional) Harris corner detector by Matlab

Web Report

• Create a web page with descriptions, explanation and pictures for your programs.
• Requirements of the report page:
  • For each program code, you have to write 4 parts: (1) goal of this code, (2) theory and principle of the code, (3) code segment explanation, and (4) result comparison or analysis.
  • Use your image to run your programs. Please choose a good image for this homework.
  • Change parameters of algorithm's functions to get different result images.
  • Compare and discuss the result images, and explain why the change of parameters can produce different results.
  • Submit your web address by Google Classroom.

Bonus

• For OpenCV tutorial code
  • (10%) You can get extra bonus scores if you can modify the code to run more corner related functions, such as cornerEigenValsAndVecs(), cornerMinEigenVal(), and cornerSubPix().
• For the Matlab code
  • (10%) If you can run the code and compare its results with OpenCV's results.
  • (10%) If you can explain the code in details.
  • (10%) If you can write an OpenCV version of Harris detector according to the Matlab code.