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Photon mapping to accelerate daylight simulation with high-resolution, data-driven fenestration models

Grobe, Lars Oliver


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        <foaf:name>Grobe, Lars Oliver</foaf:name>
        <foaf:givenName>Lars Oliver</foaf:givenName>
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    <dct:title>Photon mapping to accelerate daylight simulation with high-resolution, data-driven fenestration models</dct:title>
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    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">2019</dct:issued>
    <dcat:keyword>daylight simulation</dcat:keyword>
    <dcat:keyword>complex fenestration</dcat:keyword>
    <dcat:keyword>BSDF</dcat:keyword>
    <dcat:keyword>photon mapping</dcat:keyword>
    <dcat:keyword>performance</dcat:keyword>
    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2019-09-10</dct:issued>
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    <dct:description>&lt;p&gt;Data-driven modelling provides a general means to represent optically complex fenestration in daylight simulation by its Bidirectional Scattering Distribution Function (BSDF). &lt;em&gt;Radiance &lt;/em&gt;employs the &lt;em&gt;tensor tree &lt;/em&gt;as a compact data structure to store the BSDF at high directional resolution. The application of such models under sunny sky conditions is, however, computationally demanding, since the density of stochastic backward samples must match the BSDF resolution. The bidirectional &lt;em&gt;Photon Map &lt;/em&gt;is proposed to rapidly forward-sample the BSDF, starting from the known sun direction. Its exemplary application shows a potential speed-up of &amp;ge; 98 % when compared to backward ray-tracing.&lt;/p&gt;</dct:description>
    <dct:description>+ ID der Publikation: hslu_72853 + Art des Beitrages: Präsentation Konferenzpapier/Tagungsbeitrag + Veranstalter: Ecole Polytechnique Fédérale de Lausanne + Sprache: Englisch + Letzte Aktualisierung: 2019-09-10 15:29:23</dct:description>
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