Programming Homework

P4: Harris Corner Detection

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

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.