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CloudCompare / CloudComPy

Python wrapper for CloudCompare
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Quadric Fitting for Normal Generation in cloudComPy #195

Open kai0416s opened 4 weeks ago

kai0416s commented 4 weeks ago

Thank you for your excellent open-source work.

Some point clouds include normals, while others do not. I noticed that in CloudCompare, it is possible to generate normals using quadric fitting with a radius of 20 (which can be adjusted based on user requirements).

I would like to ask how I can achieve this in cloudComPy. I saw cloudComPy.ccQuadric, but it doesn't seem related to generating normals through quadric fitting with a radius of 20.

Your help would be greatly appreciated. Thank you!

prascle commented 3 weeks ago

Hello, Sorry for the late reply, this should work, but I haven't tried it and the CloudComPy documentation is not clear on this point. With computeNormals, you need to use the model (LOCAL_MODEL_TYPES.QUADRIC) and defaultRadius parameters: cc.computeNormals([cloud1], model=cc.LOCAL_MODEL_TYPES.QUADRIC, defaultRadius=20) Warning: try low values for the defaultRadius parameter first, as the calculation could take a long time... I will improve the documentation on this point. Best regards, Paul