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Understanding Colors and Light: Trichromatic, Opponent Process, and Color Constancy, Slides of Psychology

An in-depth exploration of various theories related to visual perception, focusing on color perception. Topics include Trichromatic Theory, its limitations, and the Opponent Process Theory proposed by Hering. Additionally, the document discusses Color Constancy, a phenomenon where surfaces appear to have consistent color despite varying illumination conditions.

What you will learn

  • What are the limitations of Trichromatic Theory in explaining color perception?
  • What are the challenges in separating illumination and reflectance information from an image?
  • What is Color Constancy and how does it affect our perception of colors?
  • How do illumination and reflectance contribute to the perceived color of an object?
  • How does the Opponent Process Theory explain color perception?

Typology: Slides

2021/2022

Uploaded on 03/31/2022

eklavya
eklavya 🇺🇸

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Slide 1 ICS 280: Visual Perception
Trichromatic
Trichromatic Theory Cannot
Theory Cannot
Explain
Explain
Complementary after images
Complementary after images
Red and green complements
Red and green complements
Blue and yellow complements
Blue and yellow complements
Slide 2 ICS 280: Visual Perception
Trichromatic
Trichromatic Theory Cannot
Theory Cannot
Explain
Explain
Simultaneous Color Contrast
Simultaneous Color Contrast
Visualizing colors
Visualizing colors
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Slide 1 ICS 280: Visual Perception

TrichromaticTrichromatic Theory CannotTheory Cannot

ExplainExplain

„„^ Complementary after imagesComplementary after images „„ Red and green complementsRed and green complements „„ (^) Blue and yellow complementsBlue and yellow complements

TrichromaticTrichromatic Theory CannotTheory Cannot

ExplainExplain

„„ Simultaneous Color ContrastSimultaneous Color Contrast

„„ Visualizing colorsVisualizing colors

Slide 3 ICS 280: Visual Perception

Chromatic AdaptationChromatic Adaptation

„„^ Patterns onPatterns on rightright

„„^ GanzfeldGanzfeld „„ (^) Experiment withExperiment with ping pong ballping pong ball

Opponent- Opponent-Process TheoryProcess Theory

Slide 7 ICS 280: Visual Perception

Why Opponent Theory?Why Opponent Theory?

AdaptationAdaptation

„„ Prolonged exposure to redProlonged exposure to red „„^ RR^ ++^ GG^ - -^ cells fire less stronglycells fire less strongly „„ GG ++^ RR - -^ cells fire more stronglycells fire more strongly

„„^ Red looks less saturatedRed looks less saturated

„„^ Green looks more saturatedGreen looks more saturated

„„^ Other colors seem to have a greenish tintOther colors seem to have a greenish tint

Slide 9 ICS 280: Visual Perception

AftereffectsAftereffects

„„^ Prolonged exposure to greenProlonged exposure to green „„ GG ++^ RR - -^ is fatiguedis fatigued

„„ When try to view whiteWhen try to view white „„ (^) RR ++^ GG - -^ cells fire more and hence red afterimagecells fire more and hence red afterimage

„„ Similar for blue/yellowSimilar for blue/yellow

„„ Still Cannot explain simultaneous contrastStill Cannot explain simultaneous contrast

Simultaneous ContrastSimultaneous Contrast

„„ Double opponentDouble opponent cells in visualcells in visual cortexcortex

„„^ Similar logic asSimilar logic as lateral inhibitionlateral inhibition

Slide 13 ICS 280: Visual Perception

Underconstarined InverseUnderconstarinedInverse

ProblemProblem

„„^ Multiplication ofMultiplication of „„ Illumination spectrumIllumination spectrum „„ (^) Reflectance spectrumReflectance spectrum

„„ Together give the spectrum that we seeTogether give the spectrum that we see

„„ No inherent difference in theirNo inherent difference in their representationrepresentation

„„ How can we separate what is due toHow can we separate what is due to illumination and what is due to reflectance?illumination and what is due to reflectance?

Color ConstancyColor Constancy

„„^ Same surface have different spectrum ofSame surface have different spectrum of reflected light depending on thereflected light depending on the illumination spectrumillumination spectrum „„ A white paper appears white in sunlightA white paper appears white in sunlight and also under a reading lightand also under a reading light

„„^ Called color constancyCalled color constancy „„ (^) Lightness constancyLightness constancy „„^ Chromatic constancyChromatic constancy

Slide 15 ICS 280: Visual Perception

Lightness ConstancyLightness Constancy

„„ An achromatic surface appears to have sameAn achromatic surface appears to have same lightness irrespective of different illuminationlightness irrespective of different illumination conditionsconditions „„^ Indoor illumination: 100 photonsIndoor illumination: 100 photons „„ Black: 10 photonsBlack: 10 photons „„ (^) White: 90 photonsWhite: 90 photons „„ Outdoor Illumination: 10,000 photonsOutdoor Illumination: 10,000 photons „„ Black: 1000 photonsBlack: 1000 photons „„^ WhiieWhiie: 9000 photons: 9000 photons „„ Black in outdoor is almost 900 times more thanBlack in outdoor is almost 900 times more than white in indoorwhite in indoor „„^ Still it is perceived as blackStill it is perceived as black

Adaptation TheoriesAdaptation Theories

„„ Visual system adaptsVisual system adapts „„^ More sensitive to dim lightMore sensitive to dim light „„ Less sensitive to bright lightLess sensitive to bright light

„„^ Illumination is thus factored out by aIllumination is thus factored out by a average adaptation of the eyeaverage adaptation of the eye

Slide 19 ICS 280: Visual Perception

Unconscious Inference TheoryUnconscious Inference Theory

„„^ Cannot be determined directly from theCannot be determined directly from the imageimage

„„^ Somehow, we make an estimate ofSomehow, we make an estimate ofI(I(λλ))

„„ (^) FindingFindingR(R(λλ) is just a division)is just a division

„„ Left out all detailsLeft out all details

„„ Proposed by HelmholtzProposed byHelmholtz

Relational Theory ofRelational Theory of HeringHering

„„^ Can be directly determined from the imageCan be directly determined from the image „„ Due to surface reflectanceDue to surface reflectance „„ (^) Absolute amount of light from neighboring regionsAbsolute amount of light from neighboring regions changechangedrasticallydrastically „„ But, relative amount of light from neighboringBut, relative amount of light from neighboring regions remain the sameregions remain the same „„ Perceived lightness depends on the relativePerceived lightness depends on the relative contrastcontrast „„ Wallach propsesWallachpropses that luminance ratios arethat luminance ratios are importantimportant „„ Two pair of projector experiment confirms thisTwo pair of projector experiment confirms this

Slide 21 ICS 280: Visual Perception

Importance of EdgesImportance of Edges

„„^ How to calculate suchHow to calculate such luminance ratios?luminance ratios? „„ (^) Local luminance ratiosLocal luminance ratios atatedges matteredgesmatter

Retinex TheoryRetinexTheory

„„ How does these ratios at edges getsHow does these ratios at edges gets integrated over the image?integrated over the image?

„„ Assumes illumination does not show anyAssumes illumination does not show any discontinuitydiscontinuity „„ Multiplication of the contrast ratios at theMultiplication of the contrast ratios at the edgesedges

Slide 25 ICS 280: Visual Perception

Illumination vsIlluminationvs ReflectanceReflectance

EdgeEdge

„„^ However, this theory fails if there is anHowever, this theory fails if there is an illumination edgeillumination edge „„ (^) Basis of the theory is edge is reflectance edgeBasis of the theory is edge is reflectance edge

„„ Identifying edges as illumination orIdentifying edges as illumination or reflectance edge is importantreflectance edge is important „„^ Experiments with same edge created by bothExperiments with same edge created by both shadow and reflectance and its effect on theshadow and reflectance and its effect on the perceived luminance of an objectperceived luminance of an object

MapsMaps

„„ The solutionThe solution „„^ Illumination MapIllumination Map „„ Reflectance MapReflectance Map

„„^ They are multiplied to get the imageThey are multiplied to get the image

„„^ Somehow we need to find these two mapsSomehow we need to find these two maps

Slide 27 ICS 280: Visual Perception

Human eyes do it easily –Human eyes do it easily – How?How?

„„^ FuzzinessFuzziness „„ Illumination edges are often not sharpIllumination edges are often not sharp „„ Only point light sources create sharp edgesOnly point light sources create sharp edges „„ (^) But real lights are extended and hence penumbraBut real lights are extended and hence penumbra „„ Reflectance edge is usually sharpReflectance edge is usually sharp „„ PlanarityPlanarity „„^ Depth information separates out non coplanar regionDepth information separates out non coplanar region „„ Perceived as illumination edgePerceived as illumination edge „„ More information than just present in an imageMore information than just present in an image

Human eyes do it easily –Human eyes do it easily – How?How?

„„^ Magnitude ratiosMagnitude ratios „„ (^) Reflectance edge can be at most 10:1Reflectance edge can be at most 10: „„ However, illumination edge can be as large asHowever, illumination edge can be as large as 1000:11000: „„^ Color produces additional informationColor produces additional information „„^ Reflectance edge produces edge in both hueReflectance edge produces edge in both hue and saturationand saturation „„ Illumination edge produces edge only inIllumination edge produces edge only in luminanceluminance

Slide 31 ICS 280: Visual Perception

Color ConstancyColor Constancy

„„^ Similar experience with colorSimilar experience with color „„ Red does not cease to be red in differentRed does not cease to be red in different lighting conditionslighting conditions

„„^ More constraints due to colorMore constraints due to color „„ Restricted ReflectanceRestricted Reflectance

„„ Models proposed based on theseModels proposed based on these retrictionsretrictions

Illumination vsIlluminationvs ReflectanceReflectance

EdgesEdges