[SOLVED] ComputerVision- Homework 1

Description

In this assignment, you will practice how to implement camera calibration.

• For implement details, please refer to the slides 02-camera p.76-80.
• We will provide an example code, you need to revise it by your calibration function.
• DO NOT use the cv2.calibrateCamera or other calibration functions, you need to implement it from scratch.
• In example code (py), the code of loading data is provided.
  • command: python camera_calibration.py
• Camera calibration:
  • First, figure out the Hi of each images.
  • Use Hi to find B, and calculate intrinsic matrix K from B by using Cholesky factorization. ü Then, get extrinsic matrix [R|t] for each images by K and H (p.79).
• After you find out the intrinsic matrix and extrinsic matrixes, plot it like p.86 result.
  • plot code is given, you only need to feed the data in.
• For mathematic details, please refer to slides 02-camera p.76-80.
• Two types of data you should try:
  • images we provided in data folder
  • images captured by your smart phone
    • We have provided the chessboard image, print it out and take photo with it.
    • NOTICE that you should close the AF(auto focus) function of your camera, and set a fix focus.
    • If you don’t know how to fix focus of your camera, please google it or ask TAs.
  • Deadline: 2020/3/30 23:55:00 pm l Hand in your report and code on New E3.
  • The report should include:
    • your introduction
    • implementation procedure
    • experimental result (of course you should also try your own images)
    • discussion
    • conclusion
    • work assignment plan between team members.
  • If you have any problems, please e-mail to TAs.

• In this assignment, you will practice how to implement camera calibration.
• For implement details, please refer to the slides 02-camera p.76-80.
• We will provide an example code, you need to revise it by your calibration function.
• DO NOT use the cv2.calibrateCamera or other calibration functions, you need to implement it from scratch.
• In example code (py), the code of loading data is provided.
  • command: python camera_calibration.py
• Camera calibration:
  • First, figure out the Hi of each images.
  • Use Hi to find B, and calculate intrinsic matrix K from B by using Cholesky factorization. ü Then, get extrinsic matrix [R|t] for each images by K and H (p.79).
• After you find out the intrinsic matrix and extrinsic matrixes, plot it like p.86 result.
  • plot code is given, you only need to feed the data in.
• For mathematic details, please refer to slides 02-camera p.76-80.
• Two types of data you should try:
  • images we provided in data folder
  • images captured by your smart phone
    • We have provided the chessboard image, print it out and take photo with it.
    • NOTICE that you should close the AF(auto focus) function of your camera, and set a fix focus.
    • If you don’t know how to fix focus of your camera, please google it or ask TAs.
  • The report should include:
    • your introduction
    • implementation procedure
    • experimental result (of course you should also try your own images)
    • discussion
    • conclusion
    • work assignment plan between team members.