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논문 기본 정보

자료유형
학술대회자료
저자정보
Katemake Pichayda (Chulalongkorn University) Rada Deeb (Université de Lyon) Damien Muselet (Université de Lyon) Mathieu Hebert (Université de Lyon) Alain Trémeau (Université de Lyon)
저널정보
한국색채학회 AIC 2017 Jeju 2017 AIC CONGRESS
발행연도
2017.10
수록면
67 - 70 (4page)

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초록· 키워드

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Mutual illumination is the phenomenon in which light successively bounces on different surfaces of a scene before hitting the imaging sensor, so that the color stimulus that hits the sensor is not only a function of the physical properties of the surface from which it is coming, but also of the neighboring surfaces. Since this mutual information has been shown to improve classical computational color constancy algorithms, in this study, we propose to check whether it can also improve human color constancy. Our idea is to ask observers to look at colored papers (through one aperture) under unknown light conditions and to name the color of this paper using the elementary color naming method. Two geometric conditions were tested and compared: flattened paper, and folded paper where mutual reflections appear between the two paper sides (self-reflections). The experimental results clearly show that the observers do much better in estimating the color of the papers with mutual reflections than without. This is an experimental proof that mutual illumination helps in human color constancy.

목차

ABSTRACT
INTRODUCTION
THEORY ABOUT MUTUAL ILLUMINATION
EXPERIMENT
RESULTS AND DISCUSSION
CONCLUSION
REFERENCES

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