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- General dimension grid-based point cloud resampling
- Principal Component Analysis
- Basic I/O utilities for 3D point clouds (in PLY format, using bundled [tinyply](https://github.com/ddiakopoulos/tinyply)) and Eigen matrices
- RGBD image pair to/from point cloud conversion utilities
#### Convex hulls:
- A general dimension convex polytope representation that is computed (using bundled [Qhull](http://www.qhull.org/)) from either vertex or half-space intersection input and allows for easy switching between the respective representations
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#### Visualization:
- Classical Multidimensional Scaling (using bundled [Spectra](https://github.com/yixuan/spectra) for eigendecompositions)
- A powerful, extensible, and easy to use 3D visualizer
- RGBD images to/from point cloud utility functions
## Dependencies
-[Eigen](http://eigen.tuxfamily.org/index.php?title=Main_Page) (3.3 or newer)
