Tutorial: Camera Calibration

DLIP Tutorial for Camera Calibration using GML Program or MATLAB

Tutorial(Ver. 1) - Calibration Using GML Camera Calibration Program

1. Download GML Camera Calibraion Program in link.

calibration resources

1. GML Program Guide

1. Create a new C++ project in Visual Studio Community

   • Project Name: DLIP_Tutorial_Camera_Calibration

   • Project Folder: C:\Users\yourID\source\repos\DLIP\Tutorial\

2. Load the file in the path: calibration.resources\sourceCode\ into the project folder

   • Source Code: ShowUndistorted.cpp, ShowUndistorted_tiny.cpp

   • header file: tinyxml2.cpp, tinyxml2.h

   • xml file: calibTest.xml

Tutorial(Ver. 2) - Calibration using MATLAB Toolbox

Using _"Computer Vision Toolbox"_** Application in MATLAB**

1. Download Computer Vision Toolbox in MATLAB.

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1. Open the Camera Calibrator application.

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1. Download images for camera calibration. (link)
2. Load calibration images to the camera calibrator app.

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1. Configure Image and Pattern Properties as

• Pattern Selection: Checkerboard

• Size of checkerboard square: 25 mm

• Image distortion: Low

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1. Click Calibrate button.

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1. Export Parameters to workspace

2. Save the Workspace cameraParams as "cameraParams.mat"

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1. Download test code(link) and Run the code

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1. Apply the camera parameter values from cameraParams to the cpp test code (link)

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1. (Option) Create a simple function that returns undistort output image from the input raw image

Other Calibration Tutorial

1. Calibration with OpenCV C++

OpenCV: Camera calibration With OpenCV

1. Calibration with OpenCV-Python

OpenCV: Camera Calibration