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The 20 pages that link to Color appearance model, each with the reason it gives.

• ColorimetryCompared with: Unlike basic colorimetric coordinates, appearance models account for viewing context and adaptation.

• Color constancyRelated: Engineering models formalize constancy and its failures for imaging and lighting industries.

• Color spaceRelated: Appearance models account for context that a fixed set of color coordinates cannot capture alone.

• Color differenceNarrower topic: Appearance models address viewing conditions that can change perceived color separation.

• Color (visual perception)Related: Such models account for illumination and surroundings when estimating perceived color.

• Chromatic adaptationNarrower topic: Such models represent adaptation alongside other influences on perceived color.

• Color harmonyRelated: Such models account for viewing context that simple hue schemes leave out.

• Color matching (trichromacy)Compared with: Matching functions predict equality of stimuli, not how colors appear under adaptation.

• Primary colorsRelated: Appearance depends on viewing context as well as a system's chosen primaries.

• CIELAB color spaceNarrower topic: CIELAB is a comparatively simple alternative to models that explicitly represent viewing conditions.

• Color modelCompared with: Unlike basic coordinate models, it accounts for how surroundings and adaptation alter appearance.

• Color perceptionRelated: Such models account for perceptual changes caused by illumination and surroundings.

• Tristimulus valuesCompared with: Appearance models account for viewing context beyond the stimulus coordinates alone.

• BrightnessRelated: Such models distinguish brightness judgments from related attributes such as lightness and colorfulness.

• Color matchingRelated: Appearance models address viewing-context changes beyond isolated matching measurements.

• CIE standard observerCompared with: It accounts for viewing context beyond the standard observer’s matching functions.

• Chromaticity diagramCompared with: Chromaticity alone does not predict appearance across changes in illumination or viewing context.

• Web colorsRelated: Identical web color coordinates can look different with changes in display and viewing conditions.

• Paint color matchingRelated: Appearance models address why identical measured paint samples may look different across conditions.

• CIELUVNarrower topic: Such models address viewing-context effects that CIELUV's coordinate transform does not fully capture.