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ECE 449CS 443: COMPUTER VISON LECTURE 11

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C(P) = Gd(P) D(P) Gs(P) S(P) others.. Image. color. Color terms. Geometric terms ... C(P) = Gd(P) D Gs(P) S. Diffuse component = Line through the origin ... – PowerPoint PPT presentation

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Title: ECE 449CS 443: COMPUTER VISON LECTURE 11


1
ECE 449/CS 443 COMPUTER VISON LECTURE 11
  • Colour II
  • Colour Matching
  • Colour Models
  • Colour Interpretation
  • Reading
  • Colour (Chapter 4)
  • For next time Linear Filters and Convolution
    (Ch. 8)
  • Solution of problem 2.5
  • See www-cvr.ai.uiuc.edu/ponce/spring02/sol1.ps
  • Lecture notes
  • See www-cvr.ai.uiuc.edu/ponce/spring02/lect.pp
    t


2
Colour Matching Experiments
Adjust the knobs on the primaries until the split
field looks uniform.
T w1P1w2P2 wkPk
Notation only!
Subtractive matching
Tw1P1 wnPn wn1Pn1 wkPk
3
Trichromacy
Three primaries are sufficient to match any test
light!
  • Note
  • This requires allowing subtractive matching.
  • For a given set of primaries and test light,
    people
  • tend to pick the same weights.
  • This is related to our three types of cones.

4
Linearity of Colour Matching ( Grassmans Laws)
Ta wa1P1wa2P2wa3P3 and Tb
wb1P1wb2P2wb3P3
l Tam Tb (l wa1m wb1)P1(l wa2m wb2)P2 (l
wa3m wb3)P3
Ta w1P1w2P2w3P3 and Tb w1P1w2P2w3P3
Ta Tb
Note this does not mean that Ta and Tb have the
same spectrum.
5
Principle of Univariance
  • The eye photoreceptors do not directly measure
  • spectral radiance.
  • Two lights will match if they produce the same
  • photoreceptor responses even if they have quite
  • different spectral radiances.
  • Because of linearity, the response of each
  • photoreceptor can be modeled as
  • PksL sk(l)E(l)dl.
  • The sensitivity sk can be measured
  • experimentally.

6
Spectral sensitivity of the three types of cones
7
Colour Matching Functions
  • Problem given a set of primaries, what are the
    weights
  • matching a given spectral radiance?
  • Experiments

1
l
Colour matching functions
L(l) f1(l)P1f2(l)P2f3(l)P3
  • To match S(l), use linearity

S(l)(sL f1(l)S(l)dl)P1(sL f1(l)S(l)dl)P2(sL
f1(l)S(l)dl)P3
8
RGB Colour Matching Functions
R645.16nm G526.32nm B444.44nm
Negative weights
9
A rather poor reproduction of the RGB
colour cube..
10
CIE XYZ Colour Matching Functions
Note there are no physical XYZ primaries!
11
CIE XYZ and xy spaces
12
Simple Colour Models for Images
Geometric terms
C(P) Gd(P) D(P) Gs(P) S(P) others..
Image color
Color terms
13
(No Transcript)
14
Colour Interpretation (Klinker and Shafer, 1987)
Metal
Dielectric material
Assume a single dielectric object with uniform
reflectance is observed.
C(P) Gd(P) D Gs(P) S
  • Diffuse component Line through the origin
  • Specular component Second line

Dog-leg pattern
15
The dog-leg pattern
Dichromatic plane
16
The structure of dog-leg patterns
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