Then, I want to interpolate the first 3D data to another 3D pressure data. I have to iterate through x, y and interpolate the data by pressure levels. This is too slow when the 3D array is large. Is ...

For fine-grained 3D vision tasks where point-wise features are essential, like semantic segmentation and 3D detection, our network achieves higher prediction accuracy than the existing networks using ...

Although 3D shape matching and interpolation are highly interrelated, they are often studied separately and applied sequentially to relate different 3D shapes, thus resulting in sub-optimal ...

Ok, so I'm using open GL to graph functions in 3D, and I've decided to use spline interpolation or another similar technique to lower the number of polys I need and to make the graph look nicer ...

Based on globally supported radial basis functions, this paper presents a hierarchical approach to 3D scattered data interpolation. Given a scattered data set distributed along a surface, we first ...