Color constancy improves for real 3D objects | Zendy

Monika Hedrich | Zendy; Marina Bloj | Zendy; Alexa I. Ruppertsberg | Zendy

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Color constancy improves for real 3D objects

Author(s) -

Monika Hedrich,

Marina Bloj,

Alexa I. Ruppertsberg

Publication year - 2009

Publication title -

journal of vision

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.126

H-Index - 113

ISSN - 1534-7362

DOI - 10.1167/9.4.16

Subject(s) - standard illuminant , color constancy , chromatic adaptation , artificial intelligence , computer vision , computer science , object (grammar) , color balance , color model , color normalization , task (project management) , mathematics , color space , color image , image processing , engineering , image (mathematics) , systems engineering

In this study human color constancy was tested for two-dimensional (2D) and three-dimensional (3D) setups with real objects and lights. Four different illuminant changes, a natural selection task and a wide choice of target colors were used. We found that color constancy was better when the target color was learned as a 3D object in a cue-rich 3D scene than in a 2D setup. This improvement was independent of the target color and the illuminant change. We were not able to find any evidence that frequently experienced illuminant changes are better compensated for than unusual ones. Normalizing individual color constancy hit rates by the corresponding color memory hit rates yields a color constancy index, which is indicative of observers' true ability to compensate for illuminant changes.

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