rendering the rendering equatjon
play

Rendering: The Rendering Equatjon Adam Celarek Research Division of - PDF document

Rendering: The Rendering Equatjon Adam Celarek Research Division of Computer Graphics Instjtute of Visual Computjng & Human-Centered Technology TU Wien, Austria The Rendering Equatjon Intuitjon Recursive Formulatjon Operator


  1. Rendering: The Rendering Equatjon Adam Celarek Research Division of Computer Graphics Instjtute of Visual Computjng & Human-Centered Technology TU Wien, Austria

  2. The Rendering Equatjon ● Intuitjon ● Recursive Formulatjon ● Operator Formulatjon ● Path Integral Formulatjon Adam Celarek 2 source: own work

  3. Intuitjon Paper Adam Celarek 3 source: own work let’s look at this scene

  4. Intuitjon Adam Celarek 4 source: own work how to compute. we can simulate what happens to photons

  5. Intuitjon Adam Celarek 5 source: own work

  6. Intuitjon Adam Celarek 6 source: own work

  7. Intuitjon Adam Celarek 7 source: own work This is a method. lots of variants, store photons in the surfaces (photon tracing, radiosity). can also do: trace paths of photons

  8. Intuitjon Adam Celarek 8 source: own work sample direction on hemisphere

  9. Intuitjon Adam Celarek 9 source: own work importance sampling is also possible (i.e. cast a ray directly to the camera)

  10. Intuitjon Adam Celarek 10 source: own work we have a full path. next slide: other paths can be sampled the same way

  11. Intuitjon Adam Celarek 11 source: own work finally add up per pixel in the camera (see, adding up -> integration)

  12. Intuitjon Adam Celarek 12 source: own work can also start at camera. integrate over hemisphere.

  13. Intuitjon Adam Celarek 13 source: own work

  14. Intuitjon Adam Celarek 14 source: own work

  15. Intuitjon Adam Celarek 15 source: own work we have a full path. only with a full path we have a light measurement (contribution to the pixel). next slide: other paths can be sampled the same way

  16. Intuitjon Adam Celarek 16 source: own work collect factors on its way to the light, that are multiplied with the radiance of the light to compute the contribution. tracing importons, adjoint operation. tracing ‘bundles of photons’, which become fewer every reflection. trace ‘bundles of importons’

  17. Intuitjon Photons are emitued from light sources, refmected by surfaces in the scene untjl they reach the sensor. In rendering, we (can) go the opposite way. We trace importons untjl they reach a light source. Next: Recap and recursive formulatjon Adam Celarek 17 source: own work

  18. Recap Light Integral Material, modelled Light from by the BRDF directjon ω Solid angle Light going in directjon v Adam Celarek 18 Recap light integral: Compute the light which is going into direction v, integrate over hemisphere, check all directions for incoming light, cosine weighting and material. next slide: The first think we have to add is light emittance.

  19. Recursive Formulatjon Material, modelled Light from by the BRDF directjon ω Solid angle Light going in Light emitued from x directjon v in directjon v Adam Celarek 19 The first think we have to add is light emittance. Imagine the camera is directed right at a light source, then the emitted light will be the dominating factor. Some light sources have a larger radiance at certain positions or in certain directions (think of a head lamp in a car), therefore the Emittance E depends on the position and the direction. The right part of the sum is the same as before: integral over the hemisphere of light from direction ω, weighted by the cosine and the brdf. Next: But how to get the radiance coming from direction ω?

  20. Recursive Formulatjon Material, modelled directjon ω ? Light from by the BRDF Solid angle Light going in Light emitued from x directjon v in directjon v Adam Celarek 20 But how to get the radiance coming from direction ω? What can we do?

  21. Recursive Formulatjon of the Rendering Equatjon Evaluate light Material, modelled from directjon ω by the BRDF recursively Solid angle Light going in Light emitued from x directjon v in directjon v Adam Celarek 21 Well, this is named recursive formulation. So probably we will get it recursively :) We can sample a ray on the hemisphere..

  22. Recursive Formulatjon of the Rendering Equatjon Adam Celarek 22 source: own work .. continue recursively until it reaches the light source

  23. Questjons? Adam Celarek 23 source: own work yes, the cat has a question

  24. Recursive Formulatjon of the Rendering Equatjon Incident light coming from Exitant light Light emitued from x directjon ω going towards in directjon v (evaluate recursively) directjon v Adam Celarek 24 Yes, the cat has a question, but first we make a change in notation. Look at exitant, emitted and incident light.

  25. Recursive Formulatjon of the Rendering Equatjon Incident light coming from Exitant light Light emitued from x directjon ω 1 going towards in directjon v directjon v (evaluate recursively) Adam Celarek 25 We now use arrows to show the direction of photons. (however, ω still points away of the point x). We also changed the name of the differential (added a 1), but that is just a variable name. Next: We said recursion, ..

  26. Recursive Formulatjon of the Rendering Equatjon Adam Celarek 26 This is one expansion of such a recursion. We are standing on position x1 and want to know how much light is coming from directions dω1 (the whole hemisphere!) From a mathematical standpoint we are not sending rays, at least not a finite number of rays. We integrate over the hemisphere. However, in the spirit of Monte Carlo and as a mental picture, we can trace a ray into direction ω1 to look what there is. We hit a point x2, and we can compute the exitant radiance for ω2 (ω2 = -ω1). But, (next slide)

  27. Recursive Formulatjon of the Rendering Equatjon ? Adam Celarek 27 Inside box: On the left/top we have incoming radiance, on the right/bottom we have exitant radiance. Cat: Is that the same?

  28. Recap About Physics Radiance L = fmux per unit projected area per unit solid angle dA, dω and dΦ are difgerentjals. check out 3blue1brown, if you want a really good explanatjon Slide modifjed from Jaakko Lehtjnen, with permission Adam Celarek 28 we had that already in the lecture about light. Back then, we were looking at radiance. Radiance is the differential flux (measured in Watts, think of number of photons) per unit projected area per unit solid angle. “dA projected” accounts for tilting dA, that is the cosine rule. And dω means that we are looking at a infinitesimal angle Therefore we are looking at the amount of energty (number of photons) that are flying into directions dω in a beam of width dA projected.

  29. Recap About Physics θ 2 dA 1 dA 2 dω 2 θ 1 dω 1 Solid angle dω 2 subtended by dA 1 as seen from dA 2 Slide modifjed from Jaakko Lehtjnen, with permission Adam Celarek 29 We calculate the differential flux (dΦ) that is sent from area differential A2 towards area differential A1. This answers the question about how much energy leaves. (You can see the calculation at the bottom.) dω2 is the solid angle subtended by dA1 as seen from dA2. Photons don’t make turns, so all energy that is sent towards dω2 will reach dA1. L(x2 → ω2) is the radiance sent by dA2 into direction ω2, cosθ2dA2 is the projected area (beam width at the start), and the fraction is just the solid angle dω2. Ok, let’s now turn to our receiver.

  30. Recap About Physics θ 2 dA 1 dA 2 dω 2 θ 1 dω 1 Solid angle dω 1 subtended by dA 2 as seen from dA 1 Slide modifjed from Jaakko Lehtjnen, with permission Adam Celarek 30 L(x1←ω1) is the radiance received by dA1 from directions dω1. In order to compute the differential flux (energy), we again have to compute the projected area for dA1, and the angles dω1 (which is the solid angle subtended by by dA2 as seen from dA1).

  31. Recap About Physics Slide modifjed from Jaakko Lehtjnen, with permission Adam Celarek 31 Let’s put those two equations right next to each other. As said, we know that photons don’t make turns (not in vacuum), therefore both of the dΦ (energy) are the same and we can equate the top equation with the bottom one. We quickly see, that all factors but the L(..) are the same. Hence the amount of radiance going from x1 towards direction ω1 is the same as reaching x2 from direction ω2.

  32. Recursive Formulatjon of the Rendering Equatjon ! Adam Celarek 32 Let’s look at the recursive formulation again. Ok, cool. We can do this. The cat is happy.

Download Presentation
Download Policy: The content available on the website is offered to you 'AS IS' for your personal information and use only. It cannot be commercialized, licensed, or distributed on other websites without prior consent from the author. To download a presentation, simply click this link. If you encounter any difficulties during the download process, it's possible that the publisher has removed the file from their server.

Recommend


More recommend