Description
Part 1: Camera Calibration
In this part of the lab assignment, we use a MATLAB Application called Camera Calibrator to calculate
the intrinsic and extrinsic matrices of your laptop camera.
1. Print the checkboard pattern in the zip file of this assignment.
2. Follow the instructions at: https://www.mathworks.com/help/vision/ug/single-camera-calibratorapp.html.
3. From the workspace open the variable cameraParams then open intrinsicMatrix parameter
Write down the values from your camera calibration session
4. Open translationVectors and record the readings for the first image
5. Open rotationVectors and record the readings for the first image
Note: see the link below for more details on cameraParams
https://www.mathworks.com/help/vision/ref/cameraparameters.html
Part 2: Calculating Camera Pose Using Newton’s Method
In this part, we will use the code provided in class in Lecture 9 to estimate the pose of the model with
respect to the camera (��
� ) – We will do this for two poses: camera1 and camera2
1. You can use either the two pictures provided in the zip file or your own camera to take two pictures
from a similar cube.
2. Copy the files pose3D.m and fproject.m from the assignment zip file to your MATLAB working folder
and fill in the missing parts – do this for the first picture.
• To obtain the 2D image coordinates in the first picture, you can open the image using imtool and
then find the points x,y coordinates manually. Then use the 3D coordinates only from the file 3D2D.pdf
• If you use the pictures provided in the zip file then use the coordinates provided in the file called
3D-2D.pdf
3. Run the script in pose3D.m and make sure that the points converge correctly – This will validate your
solution.
4. Record the final values of the model pose with respect to camera1:
5. Repeat the same steps for picture 2 and record the model pose with respect to camera 2.
