Implement a simple code for point cloud data manipulation using visual studio and PCL library
Budget: $30 – $250 CAD
Would like to perform and implement an algorithm for point cloud data. This is rather a small project, but if we do a good job at it, we will cooperate on bigger and bigger work in the future.
Point cloud data has no color data and is just intensity based. Everything is based purely on PC locations and no color data.
The procedure is to:
* Apply ransac and find planes in the data.
* Find normals of the planes, and choose only the ones whose normal is on the Z direction and pointing upwards (positive).
* Amongst those chosen ones, find the largest plane.
* Provide coordinates of the selected plane (normal vector, center point, and the end points)
RANSAC algorithm already exists in PCL library, and finding the normals is basic, and finding the largest plane is also basic. The main point of this project is to find a person/team that can cooperate proficiently on this project for me for further work that I need to perform on the point cloud data with real data that are for a specific application and gathered using a real Lidar system for an industrial application.
The algorithm is to be implemented using PCL for C/C++ in windows environment and using visual studio.
Visualization is optional, but if you had VTK installed alongside PCL that is a bonus. Will need the whole code work, and get compiled on my side as well, so we can either set PCL for me as well so that it compiles for my visual studio, or you can just copy your setup for me, i.e. including include/bin/lib files.
We use CloudCompare software to visualize things. And any sample PC data would work for now, and is not a concern. It is a bonus if you can perform the operations of RANSAC, selection of normals, and biggest plane in cloud compare to get a grip of the final value the PCL code is to output.s
Thank you
Once you expressed your interest we can chat a bit about details.
Point cloud data has no color data and is just intensity based. Everything is based purely on PC locations and no color data.
The procedure is to:
* Apply ransac and find planes in the data.
* Find normals of the planes, and choose only the ones whose normal is on the Z direction and pointing upwards (positive).
* Amongst those chosen ones, find the largest plane.
* Provide coordinates of the selected plane (normal vector, center point, and the end points)
RANSAC algorithm already exists in PCL library, and finding the normals is basic, and finding the largest plane is also basic. The main point of this project is to find a person/team that can cooperate proficiently on this project for me for further work that I need to perform on the point cloud data with real data that are for a specific application and gathered using a real Lidar system for an industrial application.
The algorithm is to be implemented using PCL for C/C++ in windows environment and using visual studio.
Visualization is optional, but if you had VTK installed alongside PCL that is a bonus. Will need the whole code work, and get compiled on my side as well, so we can either set PCL for me as well so that it compiles for my visual studio, or you can just copy your setup for me, i.e. including include/bin/lib files.
We use CloudCompare software to visualize things. And any sample PC data would work for now, and is not a concern. It is a bonus if you can perform the operations of RANSAC, selection of normals, and biggest plane in cloud compare to get a grip of the final value the PCL code is to output.s
Thank you
Once you expressed your interest we can chat a bit about details.