How to create a point cloud manually from 3D points?

I can so far only do this from a range map

Hi @Adam, how do you have your points available?

I don’t have any particular points, I want to write some code that once I have 3D points it will convert this to a point cloud.

Hi @parsd,

I believe @Adam was asking this on my behalf; to give a little more context we’re performing line scans with a Genie Nano, which requires a little processing to determine depth values. So the data we end up with after our processing is direct x, y, z values for each individual point rather than being able to use the camera image directly as a range map. I was hoping it’d be possible for us to write these values directly into a PointCloud object rather than having to generate an intermediate range map image first, but I’m afraid I couldn’t see from the docs if/how this is possible?


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Okay so the following code would assume that you already calculated your xyz coordinates and removed invalid points.

#include <cvb/point_cloud.hpp>
#include <cvb/point_cloud_factory.hpp>

// ... std::vector<float> x,y,z if size numberOfElements
auto densePc = Cvb::PointCloudFactory::CreateSparse(numberOfElements, 
                 Cvb::PointCloudFlags::Float| Cvb::PointCloudFlags::XYZ);
Cvb::Point3D<float> *points;
auto numOfPoints = densePc->Points(points);
for (int i = 0; i < numberOfElements; ++i)

For a direct memory access similar to LinearAccessData you could also use Cvb::PointCloud::PointComponents

I hope that helps


That looks great, thanks very much!