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jsonathan OP t1_isjine3 wrote

I made this algorithm to "fill the gaps" in point clouds with synthetic data points to increase the density of the cloud. I figured this would be useful for reducing overfitting in machine learning models trained on point cloud data, or otherwise just enriching sparse point cloud datasets.

Please let me know what y'all think! Here's the Github repository.

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osedao t1_isk832i wrote

>Here's the Github repository.

Hi, thanks for your contribution and sharing this. I have a question regarding if we can use this for labeled data. Have you found a chance to look into this, or seen similar method?

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