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9: Color

Human Perception. 9: Color. Color Appearance and Context. Color Matching and Context. Color Signaling Pathway. Surface Reflectance Functions. Illumination Effect on Absorptions. Why are Linear Models Useful?. Compact representation of the data

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9: Color

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  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 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

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