Goal: Learn to implement feature matching of several local feature descriptors

• • Understand two keypoint matching methods: template matching and feature descriptor matching.

  • Implement the OpenCV feature matching method for 5 keypoint descriptors: SIFT, SURF, ORB, BRISK, FREAK.

Readings

• • OpenCV 4 Computer Vision Application Programming Cookbook, by D. M. Escrivá, R. Laganiere, Fourth Edition, Packt Publishing, 2019.    [Book URL]  [GitHub]

    • Chapter 9  Describing and Matching Interest Points

Program and test images

• • Find the sample code of "Chapter 9  Describing and Matching Interest Points" by yourself.

  • The tests images of the book chapter, Notre-Dame Cathedral, are provided for you to download: image1, image2.

  • Write programs that can read test images and run the two feature matching methods by OpenCV.

  • You have to test your program by your images. You should take photos of an object with different scales and viewpoints. 

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.

    • Theory explanation 

      • (1) template matching, 

      • (2) knn matching, 

      • (3) radius matching, 

      • (4) cross check, 

      • (5) ratio test.

    • Code explanation

      • You have to explain at least two important OpenCV methods:  cv::matchTemplate function and cv::BFMatcher class. Note that the cv::BFMatcher class has three match functions: match(), knnMatch() and radiusMatch().

      • You have to explain the most important code segments in your program.

    • Experiments

      • Use the Notre-Dame images and your images to run your programs. 

      • 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 Microsoft Teams.