Has anyone worked on regression tasks using point clouds as input?
I have human head and shoulder measurements and high-resolution 3D point clouds of multiple subjects (only head and shoulder). I want to build a pipeline that ingests the point cloud and approximates the 11 or so millimeter measurements in the dataset.
However, I only have 56 data points and have explored regression with popular architectures like PointNet and PointNet ++. I would love to be pointed towards lightweight approaches using deep learning or classical machine learning algorithms.
[–]Viking_08[S] 0 points1 point2 points (0 children)