Prezentace k přednášce (47 stran v češtině)
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| Metal teapot | Diffuse teapot | Glass teapot | Glossy teapot |
Metal surfaces rendered using different light models:
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| Gold, Phong | Gold, Hall | Gold, Cook-Torrance | Copper, Cook-Torrance |
Sample materials from Cornell BRDF database:
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| Automotive paint | Spray paint | House paint |
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| Ceramics | Human skin | |
Images generated by PoV ray tracer:
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| Manhattan | The Lovers | Pearl Harbor | Warm Up |
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| Marbles | Office | Kitchen | The Classroom |
Analytically computed glossy reflection.
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| h = 10 | h = 45 | h = 400 |
Analytically computed glossy transmission.
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| h = 10 | h = 65 |
Neulander's images:
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| Original (Ray-tracing) | Depth of field small disk |
Depth of field bigger disk |
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| Motion-blur | Reflection jitter | |
Architecture:
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| Photon mapping | Photon mapping Sun is the only light source |
Caustics:
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| Photon mapping | Photon mapping |
All images have been rendered at 1024x768 with 4 samples per pixel on a Dual P3 800MHz Linux-PC.
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| Ray tracing 1.5 sec |
+ soft shadows 7 sec |
+ caustics 12 sec (2+10) |
+ global illumination 15 sec (3+12) caustics photons 50k global photons 200k |
Path tracing reference |
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| Spectral Monte-Carlo Ray-tracing |
Photon mapping | + glass sphere | Transcluent box | |
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| Fractal walls 1.6mil. elements caustics: 50k photons global: 200k photons 14min (2xPII/400) |
Fractal wall & spheres 8min (2xPIII/800) |
Diffuse box 4 samples/pixel 9min (Pentium/100) |
Glossy box 16 samples/pixel 50min (Pentium/100) |
Glossy box reference 1000 samples/pixel |
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| Adaptive super-sampling 16x16 samples/pixel |
Super-sampling graph | Area light source | Depth-of-field | DoF + Area light |
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| Depth-of-field Fractal scene |
Motion blur | |||
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| 3D noise | 3D texture samples | Bump textures | Flare (HDRI rendering) |
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Copyright: text, slides, JaGrLib images (C) 2006-2009 J.Pelikán,
Copyright: other images (C) Henrik Wann Jensen, James Arvo, Ivan Neulander, Cliff Lyon, Henry Yang et al.
Last change: $Date: 2012-05-08 17:50:24 +0200 (Tue, 08 May 2012) $
Send comments/requests to
pepca.at.cgg.mff.cuni.cz