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T-SAH: Animation Optimized Bounding Volume Hierarchies

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F15%3A00230140" target="_blank" >RIV/68407700:21230/15:00230140 - isvavai.cz</a>

  • Result on the web

    <a href="https://diglib.eg.org/handle/10.1111/cgf12581" target="_blank" >https://diglib.eg.org/handle/10.1111/cgf12581</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1111/cgf.12581" target="_blank" >10.1111/cgf.12581</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    T-SAH: Animation Optimized Bounding Volume Hierarchies

  • Original language description

    We propose a method for creating a bounding volume hierarchy (BVH) that is optimized for all frames of a given animated scene. The method is based on a novel extension of surface area heuristic to temporal domain (T-SAH). We perform iterative BVH optimization using T-SAH and create a single BVH accounting for scene geometry distribution at different frames of the animation. Having a single optimized BVH for the whole animation makes our method extremely easy to integrate to any application using BVHs, limiting the per-frame overhead only to refitting the bounding volumes.We evaluated the T-SAH optimized BVHs in the scope of real-time GPU ray tracing. We demonstrate, that our method can handle even highly complex inputs with large deformations and significant topology changes. The results show, that in a vast majority of tested scenes our method provides significantly better run-time performance than traditional SAH and also better performance than GPU based per-frame BVH rebuild.

  • 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

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2015

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    COMPUTER GRAPHICS FORUM

  • ISSN

    0167-7055

  • e-ISSN

  • Volume of the periodical

    34

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    10

  • Pages from-to

    527-536

  • UT code for WoS article

    000358326600050

  • EID of the result in the Scopus database

    2-s2.0-84932139525