Machine Vision - Camera Calibration
Budget: $10 – $20 USD
1- Please execute and compile the codes in the attached file and report the main functions in word format.
2- Camera calibration is a technique used to recover the camera properties and estimate the relationship between the image plane, camera frame, and 3D world. You can use the Camera Calibration Toolbox for Matlab to estimate the intrinsic and extrinsic parameters of a monocular camera.
Written Problems:
Given a set of images of a calibration pattern taken from a monocular camera, use the Matlab calibration toolbox to:
a) Extract the corners of the checkerboard pattern (show one annotated image)
b) Estimate intrinsic parameters (show values and uncertainties)
c) Estimate lens distortion (show radial and tangential images)
d) Show the extrinsic parameters / world (show one image)
Note: you can use Camera Calibration Toolbox for Matlab from this link
http://www.vision.caltech.edu/bouguetj/calib_doc/
2- Camera calibration is a technique used to recover the camera properties and estimate the relationship between the image plane, camera frame, and 3D world. You can use the Camera Calibration Toolbox for Matlab to estimate the intrinsic and extrinsic parameters of a monocular camera.
Written Problems:
Given a set of images of a calibration pattern taken from a monocular camera, use the Matlab calibration toolbox to:
a) Extract the corners of the checkerboard pattern (show one annotated image)
b) Estimate intrinsic parameters (show values and uncertainties)
c) Estimate lens distortion (show radial and tangential images)
d) Show the extrinsic parameters / world (show one image)
Note: you can use Camera Calibration Toolbox for Matlab from this link
http://www.vision.caltech.edu/bouguetj/calib_doc/
Related categories:
C Programming
Engineering
Matlab and Mathematica
C++ Programming
Machine Vision / Video Analytics