Unfortunately its not possible anymore to apply a transformation matrix in meshlab i think.i've seen it in an earlier version but i don't think its in there anymore.the Option was just called "Apply Transform" i think.
I used cloudCompare (Free, opensource) to apply the transformation with the calculated transformation matrix. I can now calculate a transformation Matrix.which can be done with this little thing here: So with my Source and Destination coordinates. So I just take the coordinates of 3 or even all 4 corners of the rectangle from my mesh (of which i know that they are on the same height in real-life obviously) and define my Destination coordinates accordingly: In my case this is quite easy because my Mesh represents a Table with some nice reference points (in rectangular Form) on it. With this it is possible transform your mesh to where you want to have it.īasically you only need 3 reference-points (coordinates) of your mesh.and you need to know where you want those after the transformation (destination coordinates). ℹ️About GitHub Wiki SEE, a search engine enabler for GitHub WikisĪs GitHub blocks most GitHub Wikis from search engines.Yeah i did, don't know if its applicable for your needs.so i'll just explain it. This creates a denser point cloud scan, and it decreases the number of scans that the algorithm will have to go through.īelow are some results illustrating the different methods used to approach the point cloud misalignment issue. For the algorithm to work, the user must first go through the individual scans and combine consecutive scans that are oriented correctly. In terms of time consumption, this method is the best for aligning the data collected from Guatemala.
Meshlab align point clouds code#
If the scans do not align correctly, the user has to edit the code to either adjust the sensitivity or the number of iteration the code should go through before it stops running. This code works, but it requires constant user feedback. pcd file format and align them based on the icp algorithm in the pcl_ros library. There is code available online that can take two point clouds in the. PCL's Iterative Closest Point (ICP) Algorithm Alignment This function works well if the number of scans were low, but because each data set includes over one thousand scans, this method is impractical. Meshlab's point to point align functionalityĪnother built in function in Meshlab, point to point align requires the user to choose at least four points from both scans that are the same points, Meshlab can align two scans based on the chosen points. This function does not work well for this project. When the automatic pair alignment function was used, it misaligned the two scans even though they were aligned to begin with. As a final verification, a point cloud scan was duplicated and compared with each other on Meshlab. The program has never aligned two point cloud scans correctly even after testing this function with different values for overlap and tolerance. The algorithm requires two user inputs before it begins auto alignment as shown below. Meshlab has a built in function that can automatically align two selected point cloud scans with one another. As point clouds typically are very large and data heavy some of the steps here are about reducing complexity.
Meshlab's Automatic Pair Alignment Functionality MeshLab does have the function to convert a point cloud into a mesh but be warned it can take a long time, it will often crash and the results may not be as good as you would like.
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