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https://github.com/alibdeirr/measuring-patterns-from-a-surface-

The follwing work is part of internship project developed by me as a master student in Robotics and Mechatronics.
https://github.com/alibdeirr/measuring-patterns-from-a-surface-

3d-reconstruction compuer-vision-project cpp17 pcl-library point-cloud python3

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The follwing work is part of internship project developed by me as a master student in Robotics and Mechatronics.

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# Measuring-patterns-from-a-surface

The following work was the work for my internship as an end of study for masters in Robotics and Mechatronics.

The core of the work is to develope a C++ application for measuring patterns from the surface of laser textured samples. In this cas the patters have sphercal structure.

# File contents

source file: Includes the main script of the c++ code (main.cpp) and the other functions.

py scripts : Includes the python code for creating virtual point clouds.

images: give an examples of the approach developed through the code.

headers: Includes the header files included in the main script (main.cpp).

# How the code works
The code reads a point cloud data from a .pcd file (only) , visulaize this data points , and add so,e noise if wanted.
then the code implement an algorithm to try to fit the point cloud with a sphere if possible and execute its parameters. At the end the code visualize the results and the radius of the fitted sphere is printed to the terminal.

# Operating system
The work was done using linux , but you can run this code on windows or in MacOS.

# Tips
Be carefull to the paths defined in the scripts , you need to change paths and make them adapted based on your machine and files directories.

# Running the code
git clone https://github.com/ALIBDEIRR/Measuring-patterns-from-a-surface-.git

cd Measuring-patterns-from-a-surface-

mkdir build && cd build
cmake ..
make
./main

# Usefull Links

Point cloud library : https://pointclouds.org

OpenCV: https://opencv.org/

# References

@phdthesis{kudryavtsev20173d,
title={3D Reconstruction in Scanning Electron Microscope: from image acquisition to dense point cloud},
author={Kudryavtsev, Andrey},
year={2017},
school={University of Bourgogne Franche-Comt{\'e}}
}