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Frank-ZY-Dou / Coverage_Axis

Official code for the paper Coverage Axis: Inner Point Selection for 3D Shape Skeletonization, Eurographics 2022.
https://frank-zy-dou.github.io/projects/CoverageAxis/index.html
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How to skeletonize the points cloud input? #9

Closed wusar closed 1 month ago

wusar commented 1 month ago

First of all, I would like to say that I'm really impressed with your work—it's fantastic! I encountered an issue while trying to skeletonize my point cloud data.

I was attempting to perform skeletonization on a point cloud using your provided cpp tutorial code. https://github.com/Frank-ZY-Dou/libigl_CA/blob/48dde368218ba9ced5a2a25eeb8fdeb1d7a5ae73/tutorial/FastWindingNumber_CA/main.cpp#L49 However, I noticed that the code seems to only accept a 3D mesh as input, and it converts the mesh into a surface point cloud and an internal sampled point cloud.

My input model is a pure point cloud in the shape of (point_cloud, 3), not a mesh. In this case, how should I proceed? Is there a recommended method to convert my point cloud into a suitable format for skeletonization?

Thanks for your help!

Frank-ZY-Dou commented 1 month ago

Hi Lifan,

I'm glad to hear that, and thanks!

The code I provided is just a demo. To apply FastWinderNumber to point clouds, you can follow the instructions on this website: https://www.dgp.toronto.edu/projects/fast-winding-numbers/

You can also find the source code for Soups and Clouds here: igl::fast_winding_number.

Best regards, Frank