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Interreflections and Radiosity :

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carpet and wood on table. is lighter. Indirect lighting affects realism. window has depth ... Matrix Inversion to Solve for Radiosities. Doug James. Wireframe ... – PowerPoint PPT presentation

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Title: Interreflections and Radiosity :


1
  • Interreflections and Radiosity
  • The Forward Problem
  • Lecture 11

Thanks to Kavita Bala, Pat Hanrahan, Doug James,
Ledah Casburn
2
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3
Cornell Box
blue hue
red hue
4
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5
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6
Phong Shading
Plastic looking scene
  • no object interactions
  • no shadows

7
Ray Tracing
Scene doesnt look realistic enough.
  • where is the corner of room?
  • is window flush with wall?
  • is the carpet and wood supposed to be this dark?

8
Radiosity todays topic
Indirect lighting affects realism.
  • room has a corner
  • window has depth
  • carpet and wood on table
  • is lighter
  • walls look more pink

9
The Rendering Equation Graph Style
p
source
viewer
p
p
Reflectance from Surfaces
Emission (light source)
Visibility (shadows)
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11
Diffuse Interreflections - Radiosity
  • Consider lambertian surfaces and sources.
  • Radiance independent of viewing direction.
  • Consider total power leaving per unit area of a
    surface.
  • Can simulate soft shadows and color bleeding
  • from diffuse surfaces.
  • Used abundantly in heat transfer literature

12
Irradiance, Radiosity
  • Irradiance E is the power received
  • per unit surface area
  • Units W/m2
  • Radiosity
  • Power per unit area leaving
  • the surface (like irradiance)

13
Planar piecewise constancy assumption
  • Subdivide scene into
  • small uniform polygons

14
Power Equation
  • Power from each polygon
  • Linear System of Equations

15
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16
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17
Form Factors Invariant
18
Form Factor Computation
  • Schroeder and Hanrahan derived an analytic
    expression
  • for polygonal surfaces.
  • In general, computing double integral is hard.
  • Use Monte Carlo Integration.

19
Form Factor Computation
20
Form Factor Computation
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22
Linear System of Radiosity Equations
Known
Known
Unknown
  • Matrix Inversion to Solve for Radiosities.

23
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24
Doug James
25
Wireframe
26
  • Classical
  • Approach
  • No
  • Interpolation

27
Wireframe
28
  • Classical
  • Approach
  • Low Res

29
  • Classical
  • Approach
  • High Res
  • More accurate

30
  • Classical
  • Approach
  • High Res
  • Interpolated

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32
Sample Scenes
33
Sample Scenes
34
Sample Scenes
35
Sample Scenes
36
Sample Scenes
37
Summary
38
Doug James
39
Two Pass Solution
  • First Pass Diffuse Interreflections
  • View independent, global diffuse illumination
  • computed with radiosity.
  • Second Pass Specular Interreflections
  • View dependent, global specular illumination
  • computed with ray-tracing.
  • Combine strengths of radiosity and ray-tracing.

40
  • Interreflections
  • The Inverse Problem
  • Lecture 12
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