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Parallel BVH construction using k-means clustering

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F16%3A00300076" target="_blank" >RIV/68407700:21230/16:00300076 - isvavai.cz</a>

  • Result on the web

    <a href="http://link.springer.com/article/10.1007/s00371-016-1241-0" target="_blank" >http://link.springer.com/article/10.1007/s00371-016-1241-0</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/s00371-016-1241-0" target="_blank" >10.1007/s00371-016-1241-0</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Parallel BVH construction using k-means clustering

  • Original language description

    We propose a novel method for fast parallel construction of bounding volume hierarchies (BVH) on the GPU. Our method is based on a combination of divisible and agglomerative clustering. We use the k-means algorithm to subdivide scene primitives into clusters. From these clusters, we construct treelets using the agglomerative clustering algorithm. Applying this procedure recursively, we construct the entire bounding volume hierarchy. We implemented the method using parallel programming concepts on the GPU. The results show the versatility of the method: it can be used to construct medium-quality hierarchies very quickly, but also it can be used to construct high-quality hierarchies given a slightly longer computational time. We evaluate the method in the context of GPU ray tracing and show that it provides results comparable with other state-of-the-art GPU techniques for BVH construction. We also believe that our approach based on the k-means algorithm gives a new insight into how bounding volume hierarchies can be constructed.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GAP202%2F12%2F2413" target="_blank" >GAP202/12/2413: Optimal Algorithms for Image Synthesis</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2016

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    The Visual Computer

  • ISSN

    0178-2789

  • e-ISSN

  • Volume of the periodical

    32

  • Issue of the periodical within the volume

    6

  • Country of publishing house

    DE - GERMANY

  • Number of pages

    11

  • Pages from-to

    977-987

  • UT code for WoS article

    000378731600029

  • EID of the result in the Scopus database

    2-s2.0-84966430759