Compressed Bounding Volume Hierarchies for Collision Detection & Proximity Query

Autor: Tan, Toni, Weller, Rene, Zachmann, Gabriel
Rok vydání: 2020
Předmět:
Druh dokumentu: Working Paper
Popis: We present a novel representation of compressed data structure for simultaneous bounding volume hierarchy (BVH) traversals like they appear for instance in collision detection & proximity query. The main idea is to compress bounding volume (BV) descriptors and cluster BVH into a smaller parts 'treelet' that fit into CPU cache while at the same time maintain random-access and automatic cache-aware data structure layouts. To do that, we quantify BV and compress 'treelet' using predictor-corrector scheme with the predictor at a specific node in the BVH based on the chain of BVs upwards.
Databáze: arXiv