Linear octtrees for fast processing of three-dimensional objects

By I. Gargantini. 1982

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Maxim Tatarchenko
2. Alexey Dosovitskiy
3. M. Homel
4. E. Herbold
5. Jitendra Malik
6. Jiajun Wu
7. Andrea Vedaldi
8. Vladlen Koltun

Citations in the corpus

• Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs (2017, methodology): “m is calculated from (x, l) using Z-order curves [13]”
• Field‐gradient partitioning for fracture and frictional contact in the material point method (2017, methodology): “A variety of methods exist for efficient generation of particle neighbor lists, with OctTree data structures [56] being the preferred method for sparse or heterogeneously distributed points in 3-D.”