1. Human Perception
9: Color

2. Color Appearance and Context

3. Color Matching and Context

4. Color Signaling Pathway

5. Surface Reflectance Functions

6. Illumination Effect on Absorptions

7. Why are Linear Models Useful?
Compact representation of the data
Work smoothly with conventional linear matrix computations
Help understand practical matters like the number of sensors needed to measure a set of signals

8. Example Daylights

9. Daylight Basis Functions (CIE)

10. Macbeth Chart: Reflectance

11. Macbeth Chart Basis Functions

12. Macbeth Approximations: Functions

13. Macbeth Approximations: Appearance

14. Illumination(3) and Reflectance(3)
Yellow illuminant
Blue illuminant
Black surface
Not used in the paper, but a good introductory point for talks.
White surface

15. Surface & Illuminant Estimation
Gray world assumption
Average of all the surfaces in the image is gray
Uniform perfect reflector
The brightest surface in the image
Specularities
Glossy surface reflects the illumination directly

16. Color Signaling Pathway

17. Example Daylights

18. Macbeth Chart Basis Functions

19. The Photoreceptor Types
Cone wavelength absorptions