Color constancy from physical principles

被引:36
作者
Geusebroek, JM [1 ]
van den Boomgaard, R [1 ]
Smeulders, AWM [1 ]
Gevers, T [1 ]
机构
[1] Univ Amsterdam, NL-1098 SJ Amsterdam, Netherlands
关键词
color constancy; photometric invariance; scale-space; differential invariants; Gaussian color model;
D O I
10.1016/S0167-8655(02)00322-7
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A well known property of human vision, known as color constancy, is the ability to correct for color deviations caused by a difference in illumination. A common approach to investigate color constant behavior is by psychophysical experiments, regarding the human visual system as a black box responding to a well defined change in an laboratory setup. A fundamental problem in psychophysical experiments is that significant conclusions are hard to draw due to the complex experimental environment necessary to examine color constancy. An alternative approach to reveal the mechanisms involved in color constancy is by modeling the physical process of spectral image formation. In this paper, we aim at a physical basis for color constancy rather than a psychophysical one. By considering spatial and spectral derivatives of the Lambertian image formation model, object reflectance properties are derived independent of the spectral energy distribution of the illuminant. Gaussian spectral and spatial probes are used to estimate the proposed differential invariant. Knowledge about the spectral power distribution of the illuminant is not required for the proposed invariant. The physical approach to color constancy offered in the paper confirms relational color constancy as a first step in color constant vision systems. Hence, low-level mechanisms such as color constant edge detection may play an important role in front-end vision. The research presented raises the question of whether the illuminant is estimated at all in pre-attentive vision. (C) 2002 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:1653 / 1662
页数:10
相关论文
共 27 条
[1]  
[Anonymous], SOURCES COLOR VISION
[2]  
[Anonymous], 1997, IMAGE STRUCTURE
[3]   Color constancy in the nearly natural image. 2. Achromatic loci [J].
Brainard, DH .
JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION, 1998, 15 (02) :307-325
[4]  
BRUNSWIK E, 1928, Z PSYCHOL, V64, P216
[5]   MECHANISMS OF COLOR CONSTANCY [J].
DZMURA, M ;
LENNIE, P .
JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION, 1986, 3 (10) :1662-1672
[6]   Color in perspective [J].
Finlayson, GD .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1996, 18 (10) :1034-1038
[7]   RELATIONAL COLOR CONSTANCY FROM INVARIANT CONE-EXCITATION RATIOS [J].
FOSTER, DH ;
NASCIMENTO, SMC .
PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, 1994, 257 (1349) :115-121
[8]   COLOR CONSTANT COLOR INDEXING [J].
FUNT, BV ;
FINLAYSON, GD .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1995, 17 (05) :522-529
[9]   Color invariance [J].
Geusebroek, JM ;
van den Boomgaard, R ;
Smeulders, AWM ;
Geerts, H .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2001, 23 (12) :1338-1350
[10]  
Geusebroek JM, 2000, LECT NOTES COMPUT SC, V1842, P331