![]() ![]() Sometimes we would like the PLY file to contain additional information. ↑ġ.3 Per-vertex information and UV coordinate I use the “Measuring Tool” in figure 1 to measure the known distance between two points.įigure 1 The “Measuring Tool” of MeshLab. It is always a good idea to check the dimension inside MeshLab to see if the reprojected point cloud has the right special size. The modified Q matrix makes the point cloud using a Y-axis parallel to the global Y-axis. If a zero-based indexing is used here, the following elements should be modified: The other things that matter are that, as learned from the sample code of OpenCV, certain elements of Q should be modified to make the 3D point cloud lying along the right direction. This may means that we have to do the calibration ourselves by OpenCV. If the OpenCV function reprojectImageTo3D( ) is used, we need the Q matrix that produced by the stereoRectify( ) function. There are a couple of things that we should take care when we doing this. In the sample code of OpenCV, it outputs the 3D point cloud into a PLY file. ![]() 1 Exporting the point cloud as a PLY file Well, I mean working at the lab and working from home. I was working on my laptop and desktop at the same time. I would like to share those experiences here because somebody else may be working on similar projects and get frustrated about the situation that there are not enough tutorials that we could just watch and learn.įor this document, I was using Ubuntu 16.04. I experienced a lot of try-and-error loops as I walking through these processes. Composing a MeshLab project (.mlp) file.Exporting the point cloud as a PLY file.Mesh generation and texturing by MeshLab.Stereo calibration and reconstruction by OpenCV.These days, I was working on generating meshes from 3D point cloud obtained from stereo reconstruction. In this post, I will share my experience on mesh generation and texturing. One of them is to be used to generate a 3D mesh and, further, the 3D model of the object in the real world. Once this is done, you can experiment with the tools inside of MeshLab.The point cloud from a stereo reconstruction could be used in many ways. Try to clean up any data that you don’t need in Recap. ![]() The data is imported into Inventor as a Mesh (as shown above). You are now able to interact with the meshed point cloud. However a less dense model may be perfect, depending on use case. This model is full of gaps, but could be improved, by changing the accuracy of the import above. For a first run, I suggest exporting with a world unit of 0.1īelow is a mesh model created from the point clouds.Depending on the complexity of the point cloud, and the fidelity of the mesh required, you will need to run a few experiments. rcs *.f|s *.fws ”.lsproj *.pts *.ptg *.pt>c*.zfs *.zfpj *.las *.laz *.xyz *.b Remeshing, Simplification and Reconstruction > Surface Reconstruction: Ball Pivoting Open your Point Cloud in Recap (recap can open the following formats.Here is the workflow that has worked for me. Have you ever needed to convert a point cloud to mesh data in Autodesk Inventor? While Inventor can import point clouds from Recap, point clouds can be un-usable in some workflows, especially when actual geometry is required to work with.Ĭonverting a point cloud to a surface model is currently not possible in 1 piece of software, however there is a workaround using Recap and some free point cloud software called MeshLab ( download link here) ![]()
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