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Appearance Models for Graphics

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Title: Appearance Models for Graphics


1
Appearance Models for Graphics
  • COMS 6998-3
  • Brief Overview of Reflection Models

2
Assignments
  • E-mail me name, status, Grade/PF. If you dont
    do this, you wont be on class list. and give me
    e-mails now
  • Let me know if you dont receive e-mail by
    tomorrow
  • E-mail me list of papers to present (rank 4 in
    descending order). Must receive by Fri or you
    might be randomly assigned.
  • Next week, e-mail brief descriptions of proposed
    projects. Think about this when picking papers

3
Today
  • Appearance models
  • Physical/Structural (Microfacet
    Torrance-Sparrow, Oren-Nayar)
  • Phenomenological (Koenderink van Doorn)

4
n
a
?a
da
Masking
Interreflection
Shadowing
dA
Symmetric Microfacets
Brdf of grooves simple specular/Lambertian
Torrance-Sparrow Specular Grooves. Specular
direction bisects (half-angle) incident, outgoing
directions
Oren-Nayar Lambertian Grooves. Analysis more
complicated. Lambertian plus a correction
5
Phenomenological BRDF model Koenderink and van
Doorn
  • General compact representation
  • Domain is product of hemispheres
  • Same topology as unit disk, adapt basis
  • Zernike Polynomials

6
Paper presentations
  • Torrance-Sparrow (Kshitiz)
  • Oren-Nayar (Aner)
  • Koenderink van Doorn (me, briefly)

7
Phenomenological BRDF model Koenderink and van
Doorn
  • General compact representation
  • Preserve reciprocity/isotropy if desired
  • Domain is product of hemispheres
  • Same topology as unit disk, adapt basis
  • Outline
  • Zernike Polynomials
  • Brdf Representation
  • Applications

8
Zernike Polynomials
  • Optics, complete orthogonal basis on unit disk
    using polynomials of radius
  • R has terms of degree at least m. Even or odd
    depending on m even or odd
  • Orthonormal, using measure ?d?d?

n-m even m?n
Cool Demo http//wyant.opt-sci.arizona.edu/zernik
es/zernikes.htm
9
m
0 1
2
n
m ? n
m ? n
0
n-m must be even
m ? n
n-m must be even
1
n-m must be even
n-m must be even
2
10
Hemispherical Zernike Basis
  • Measure Disk Hemisphere sin(?)d?d?
  • Set

?d?d?
11
BRDF representation
  • Reciprocity aklmnamnkl

12
BRDF representation
  • Reciprocity aklmnamnkl
  • Isotropy Dep. only on ? ?i-?r Expand as a
    function series of form cos(m?i-?r)
  • Can define new isotropic functions
  • Symmetry (Reciprocity) alnm anlm

13
BRDF Representation Properties
  • First two terms in series
  • 5 terms to order 2,14 to order 4, 55 order 8
  • Lambertian First term only
  • Retroreflection ?ln
  • Mirror Reflection (-1)m ?ln
  • Very similar to Fourier Series

alnm ?l0 ?n0 ?m0 alnm ?ln alnm (-1)m ?ln
14
Applications
  • Interpolating, Smoothing BRDFs
  • Fitting coarse BRDFs (e.g. CURET). Authors
    Order 2 often sufficient
  • Extrapolation
  • Some BRDF models can be exactly represented
    (Lambertian, Opik)
  • Others to low order after filtering/truncation
  • High-order terms are typically noisy

15
Discussion/Analysis
  • Strong unified foundation
  • Spectral analysis interesting in own right
  • Ringing!! Must filter
  • Dont handle BRDF features well
  • Specularity requires many terms
  • Theoretically superior to spherical harmonics but
    in practice?
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