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.
