Color constancy in the nearly natural image 1 Asymmetric matches

Brainard, David H.; Brunt, Wendy A.; Speigle, Jon M.

doi:10.1364/josaa.14.002091

Cited by 214 publications

(168 citation statements)

References 52 publications

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“…Indeed, it already has been observed by others that it is impossible to find gray infields in different surrounds that appear truly identical (13). According to the scission account, this could be explained by assuming that in such a situation the two color components present are both faint and that the background component can be balanced-but not canceled-by a complementary contrast component such that the total impression is close-but not identical-to a true gray (see Fig.…”

Section: Discussionmentioning

confidence: 96%

The natural center of chromaticity space is not always achromatic: A new look at color induction

Ekroll

Faul

Niederée

et al. 2002

Proc. Natl. Acad. Sci. U.S.A.

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Although current theories of color vision differ in many respects, they all assume the existence of a uniquely defined neutral point in chromaticity space. It generally is assumed that this point satisfies several criteria simultaneously. One of these criteria is that it is perceived as achromatic. A further criterion shared by most theories is the structural assumption that lines in chromaticity space of constant hue converge on the neutral point. The basic assumption that these two criteria coincide is clearly true for isolated spots of light presented in darkness, and it usually is taken for granted that this coincidence generalizes to more complex visual stimuli. Here, we show that this is not the case. Our experiments with infields in chromatic surrounds revealed that the point in chromaticity space that appears gray is clearly different from the point on which lines of constant hue converge. A plausible interpretation of this apparently paradoxical finding in terms of color scission is proposed.

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Section: Discussionmentioning

confidence: 96%

The natural center of chromaticity space is not always achromatic: A new look at color induction

Ekroll

Faul

Niederée

et al. 2002

Proc. Natl. Acad. Sci. U.S.A.

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“…In the area ofvisual perception, for example, IVE technology facilitates the creation ofnaturalappearing VEs for studying space perception, color perception, and so forth. Although investigators can create specially designed natural environments in the laboratory (e.g., Brainard, Brunt, & Speigle, 1997), such creations entail the investment of much time and expense. In contrast, once one has acquired a VD system, creation ofnew IVEs requires only programming effort.…”

Section: Advantages Of Immersive Virtual Environment Technologymentioning

confidence: 99%

Immersive virtual environment technology as a basic research tool in psychology

Loomis

Blascovich

Beall

1999

Behavior Research Methods, Instruments, & Computers

556

354

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Immersive virtual environment (IVE) technology has great promise as a tool for basic experimental research in psychology. IVE technology gives participants the experience of being surrounded by the computer-synthesized environment. We begin with a discussion of the various devices needed to implement immersive virtual environments, including object manipulation and social interaction. We review the benefits and drawbacks associated with virtual environment technology, in comparison with more conventional ways of doing basic experimental research. We then consider a variety of examples of research using IVE technology in the areas of perception, spatial cognition, and social interaction.

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“…It is possible to measure such changes systematically and correct for them. For example, Brainard et al (33) describe a method based on using small-dimensional linear models to characterize spectral changes. This method was developed for handling spectral changes that occur when the voltage to filtered lamps is varied, but it also works well for LCD displays.…”

Section: Extending the Standard Crt Model Channel Constancymentioning

confidence: 99%

Display Characterization

Brainard¹,

Pelli²,

Robson³

2002

Encyclopedia of Imaging Science and Technology

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This article describes the characterization and use of computer‐controlled displays. Most imaging devices are now computer controlled, and this makes it possible for the computer to take into account the properties of the imaging device to achieve the intended image. CRT (cathode ray tube) monitors is emphasizes the article begins with the standard model of CRT imaging. How this model may be used to render the desired visual image accurately from its numerical representation is shown. The domain of validity of the standard CRT model is discussed. The model makes several assumptions about monitor performance that are usually valid but can fail for certain images and CRTs. How to detect such failures and how to cope with them are explained. Primarily users who will be doing accurate imaging on a CRT are addressed. CRTs are very well suited for accurate rendering. Treatment of LCDs (liquid crystal displays) is brief, in part because this technology is changing very rapidly and in part because the strong dependence of emitted light on viewing angle in current LCD displays is a great obstacle to accurate rendering. Plasma displays seem more promising in this regard. All the steps of a basic characterization are presented. The treatment emphasizes accuracy both in color and in space. The display characteristics that need to be taken into account to present an arbitrary spatiotemporal image accurately, that is, luminance and chromaticity as a function of space and time are reviewed. A number of topics of interest to the vision scientist who requires precise control of a displayed stimulus are treated. This article explains the standard CRT model (and necessary basic colorimetry) and describes simple visual tests (available online) that establish the model's validity for a monitor. How to use the standard model to characterize your display for accurate rendering is shown. Finally, the discussion briefly presents several more advanced topics, including characterization of non‐CRT displays.

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Color constancy in the nearly natural image 1 Asymmetric matches

Cited by 214 publications

References 52 publications

The natural center of chromaticity space is not always achromatic: A new look at color induction

The natural center of chromaticity space is not always achromatic: A new look at color induction

Immersive virtual environment technology as a basic research tool in psychology

Display Characterization

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