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OLBVH: Octree linear bounding volume hierarchy for volumetric meshes

 
: Ströter, Daniel; Mueller-Roemer, Johannes; Stork, André; Fellner, Dieter W.

:
Postprint urn:nbn:de:0011-n-5958902 (1.3 MByte PDF)
MD5 Fingerprint: cbfc983ff41a693d7fd8d224a06f71c1
The original publication is available at springerlink.com
Erstellt am: 15.7.2020


The Visual Computer 36 (2020), Nr.10-12, S.2327-2340
ISSN: 0178-2789
ISSN: 1432-2315
European Commission EC
H2020; 825030; Qu4lity
Englisch
Zeitschriftenaufsatz, Elektronische Publikation
Fraunhofer IGD ()
Lead Topic- Visual Computing as a Service; Research Line- Computer graphics (CG); General Purpose Computation on Graphics Processing Unit (GPGPU); Volume rendering; Hierarchical bounding volumes; Hierarchical data structures

Abstract
We present a novel bounding volume hierarchy for GPU-accelerated direct volume rendering (DVR) as well as volumetric mesh slicing and inside-outside intersection testing. Our novel octree-based data structure is laid out linearly in memory using space filling Morton curves. As our new data structure results in tightly fitting bounding volumes, boundary markers can be associated with nodes in the hierarchy. These markers can be used to speed up all three use cases that we examine. In addition, our data structure is memory-efficient, reducing memory consumption by up to 75%. Tree depth and memory consumption can be controlled using a parameterized heuristic during construction. This allows for significantly shorter construction times compared to the state of the art. For GPU-accelerated DVR, we achieve performance gain of 8.4×–13×. For 3D printing, we present an efficient conservative slicing method that results in a 3×–25× speedup when using our data structure. Furthermore, we improve volumetric mesh intersection testing speed by 5×–52×.

: http://publica.fraunhofer.de/dokumente/N-595890.html