This Julia package is a lightweight framework for defining N-Dimensional region trees. In 2D, these are called region quadtrees, and in 3D they are typically referred to as octrees. A region tree is a simple data structure used to describe some kind of spatial data with varying resolution. Each element in the tree can be a leaf, representing an N-dimensional rectangle of space, or a node which is divided exactly in half along each axis into 2^N children. In addition, each element in a
RegionTrees.jl tree can carry an arbitrary data payload. This makes it easy to use
RegionTrees to approximate functions or describe other interesting spatial data.
@generatedfunctions lets us unroll most loops and prevent allocating temporary arrays
See examples/demo.ipynb for a tour through the API. You can also check out:
 Frisken et al. "Adaptively Sampled Distance Fields: A General Representation of Shape for Computer Graphics". SIGGRAPH 2000.
An adaptively sampled distance field, from
An adaptively sampled model-predictive control problem, from
An adaptive distance field in 3D, from AdaptiveDistanceFields.jl:
about 2 months ago