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Fast Global Illumination Including Specular Effects

Xavier Granier 1 George Drettakis 1 Bruce J. Walter 2. 1 iMAGIS -GRAVIR/IMAG-INRIA iMAGIS is a joint project of CNRS/INRIA/UJF/INPG. 2 Cornell University. Fast Global Illumination Including Specular Effects. Motivation. Realistic I llumination All l ight paths

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Fast Global Illumination Including Specular Effects

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  1. Xavier Granier 1 George Drettakis 1 Bruce J. Walter 2 1iMAGIS -GRAVIR/IMAG-INRIA iMAGIS is a joint project of CNRS/INRIA/UJF/INPG 2Cornell University Fast Global Illumination IncludingSpecular Effects

  2. Motivation • Realistic Illumination All light paths • Time-Quality Tradeoff • Interactive Visualisation • Quality Control

  3. Talk overview • Previous work • New Integrated Algorithm • Results • Conclusion

  4. Deterministic methods Radiosity [Goral84,Cohen88,etc] Hierarchy and Clustering [Hanrahan91, Smits94, Sillion95, etc] Non diffuse [Immel86, Sillion89, Sillion91, etc] Probabilistic Photon Map[Jensen96,etc] Density Estimation[Walter97,etc] Previous Work

  5. Multi-pass Two-pass [Wallace97,Sillion89,etc] Integrated [Chen91,etc] Interactive viewing Render-Cache [Walter99] Directional Storage [Stamminger99,etc] Previous Work

  6. DD transfer Hierarchical Radiosity with Clustering (HRC) DS+D transfer Particle tracing during HRC gather Overview D = Diffuse and S = Non Diffuse Images have specular path to eye added by Ray-Tracing

  7. Algorithm Overview • Construct hierarchy • Hierarchy elements: clusters and surfaces • For each iteration • Refine • create links at correct level • Gather - Energy transfer • particle emission restricted by links • Push-pull • particle placement

  8. Refinement • Link placement • Choose appropriate hierarchy level for transfer • Refinement test: Energy > e • Visibility classification and computation • Shafts and blocker lists for classification/optimisation • Unoccluded form factor computation

  9. IRS Energy transfer through a link Diffuse-Diffuse transfer IRS= Radiosity x Form Factor x Visibility IR= IR+ IRS

  10. Energy transfer through links Diffuse-Specular transfer • Diffuse-Specular transfer • Probabilistic emission of particles • Reflection on receiver • Propagation and impact storage • Links guide particles • Links encode light flow • Restrict number of particles

  11. Particle Emission • Number of particles • Flux S to R/ Constant energy • Uniform sampling • Inverse of (Measure(R) x Measure(S)) • Particle power • Flux from s to r corrected by • number of particles and • probability of sample choice

  12. Push-Pull • Push: Hierarchy descent • Particle placement • Integrate particle power into irradiance • Radiosity computation on leaves • Pull: Radiosity averaging

  13. Particle Placement Detect high variation and concentration • Quantity • Average position and "Spread Factor" • Push particle if: • High concentration and high energy

  14. Interactive Visualisation • Computed Solution: Diffuse part • View independant solution • Hardware rendering • Ray Trace: View dependant part • Save image • Interactivity: Render - Cache

  15. Results: Quality control Varyctparameter 4 sec 1200 particles 5 sec 7800 particles 15 sec 81800 particles

  16. Indirect 1 min 42 sec 4 min 34 sec

  17. Particle tracing comparison Complex, indirectly lit scenesimulation  10 min Our method Particle trace

  18. Video VIDEO

  19. Conclusion • Integrated algorithm • Hierarchical Radiosity with Clustering and Particle Tracing • Guide particle emission with Links • Place particles during push-pull • Handles indirect light well • Rapid computation • Interactive simulations for small scenes • Fast coarse solutions for complex scenes

  20. Future Work • Separate Reconstruction • Low and High frequencies • Dynamic updates • Partial particle shooting • Distributed/Monte-Carlo Ray-trace • Solution with importance • Local precise solution • Detect needed interactions

  21. The End

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