Photon Splatting Using a View-Sample Cluster Hierarchy

Pierre Moreau, Erik Sintorn, Viktor Kämpe, Ulf Assarsson, Michael Doggett

Forskningsoutput: Kapitel i bok/rapport/Conference proceedingKonferenspaper i proceedingPeer review

Sammanfattning

Splatting photons onto primary view samples, rather than gathering from a photon acceleration structure, can be a more efficient approach to evaluating the photon-density estimate in interactive applications, where the number of photons is often low compared to the number of view samples. Most photon splatting approaches struggle with large photon radii or high resolutions due to overdraw and insufficient culling. In this paper, we show how dynamic real-time diffuse interreflection can be achieved by using a full 3D acceleration structure built over the view samples and then splatting photons onto the view samples by traversing this data structure. Full dynamic lighting and scenes are possible by tracing and splatting photons, and rebuilding the acceleration structure every frame. We show that the number of view-sample/photon tests can be significantly reduced and suggest further culling techniques based on the normal cone of each node in the hierarchy. Finally, we present an approximate variant of our algorithm where photon traversal is stopped at a fixed level of our hierarchy, and the incoming radiance is accumulated per node and direction, rather than per view sample. This improves performance significantly with little visible degradation of quality.
Originalspråkengelska
Titel på värdpublikationHigh-Performance Graphics 2016
RedaktörerUlf Assarsson, Warren Hunt
FörlagEurographics - European Association for Computer Graphics
Antal sidor11
ISBN (elektroniskt)978-3-03868-008-6
DOI
StatusPublished - 2016
EvenemangHigh Performance Graphics, 2016 - Trinity College, Dublin, Irland
Varaktighet: 2016 juni 202016 juni 22

Konferens

KonferensHigh Performance Graphics, 2016
Land/TerritoriumIrland
OrtDublin
Period2016/06/202016/06/22

Ämnesklassifikation (UKÄ)

  • Datavetenskap (Datalogi)

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