Color constancy improves for real 3D objects

Hedrich, Monika; Bloj, Marina; Ruppertsberg, Alexa I.

doi:10.1167/9.4.16

Cited by 43 publications

(49 citation statements)

References 54 publications

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“…The size of the illumination context also has a large effect on color constancy, at least for simple displays (Hansen et al, 2007;Murray, Daugirdiene, Vaitkevicius, Kulikowski, & Stanikunas, 2006;Rinner & Gegenfurtner, 2000). Moreover, cues from 3D scene geometry (Bloj, Kersten, & Hurlbert, 1999;Hedrich, Bloj, & Ruppertsberg, 2009), highlights (Snyder, Doerschner, & Maloney, 2005;Yang & Shevell, 2003), and stereo disparity (Werner, 2006;Yang & Shevell, 2002) appear to be used in estimating surface reflectance and illumination.…”

Section: Introductionmentioning

confidence: 99%

Categorical color constancy for real surfaces

et al. 2010

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In everyday experience, perceived colors of objects remain approximately constant under changes in illumination. This constancy is helpful for identifying objects across viewing conditions. Studies on color constancy often employ monitor simulations of illumination and reflectance changes. Real scenes, however, have features that might be important for color constancy but that are in general not captured by monitor displays. Here, we investigate categorical color constancy employing real surfaces and real illuminants in a rich viewing context. Observers sorted 450 Munsell samples into the 11 basic color categories under a daylight and four filtered daylight illuminants. We additionally manipulated illuminant cues from the local surround. Color constancy as quantified both with a classification consistency index and a standard color constancy index was high in both cue conditions. Observers generally classified colors with the same precision across different illuminants as across repetitions for the daylight illuminant. Moreover, the pattern of classification consistency in terms of stimulus hue, value, and chroma was similar when comparing different observers for the daylight illuminant and when comparing individual observers across different illuminants. We conclude that color categorization is robust under illuminant changes as well as across observers, thus potentially serving both object identification and communication.

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Section: Introductionmentioning

confidence: 99%

Categorical color constancy for real surfaces

et al. 2010

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“…Overall, photographs of natural scenes seen in color are recognized quicker and remembered better than when grayscale is used [19,20] and even in the case of simple lights, chromatic components are better remembered than brightness ones [21]. Our ability to remember colors has been put to practical use in applications such as color quality metrics for solid-state light sources [22] and to enhance digital images [23] and plays a significant role in color constancy [24][25][26][27].Given this important role of color in visual memory, large biases would be somewhat surprising. However, our results do confirm previous studies in finding an increase in saturation in the memory construct compared to direct viewing.…”

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confidence: 99%

Bias effects of short- and long-term color memory for unique objects

2016

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Are objects remembered with a more saturated color? Some of the evidence supporting this statement comes from research using 'memory colors' -the typical colors of particular objects, for example the green of grass. The problematic aspect of these findings is that many different exemplars exist, some of which might exhibit a higher saturation than the one measured by the experimenter. Here we avoid this problem by using unique personal items and comparing long-and short-term color memory matches (in Hue, Value and Chroma) with those obtained with the object present. Our results, on average, confirm that objects are remembered as more saturated than they are. © 201X Optical Society of AmericaOCIS codes : (330.0330) Vision, color, and visual optics; (330.1690) Color; (330.1720 1.IntroductionIn our everyday life color is a property strongly associated with objects and we have all heard and maybe even seen with our mind's eye the "red rose" of Robert Burn's poem or the "green grass of home" sung by Tom Jones. This idea of linking certain objects with a defined color was formalized by Hering and Katz in the early 20 century, as discussed in [1,2]. Subsequently Koffka [3] and others put forward the specific hypothesis that colors are remembered more saturated, in line with the Gestalt hypothesis of change towards better or the ideal; sometimes identified as a 'positive time error ' [4]. A modern formulation of this can now be found as a statement of fact in some image processing [5] and photography books [6]. However in more than 80 years of research into color and memory the evidence to support this has been inconclusive at best.Hanawalt & Post [2] report 4 studies using different methods to explicitly test for an increase in saturation of remembered colors. They used abstract color stimuli, different task and timings; under none of their tested conditions they find that remembered colors are more saturated.In Newhall et al. [7] the main experiment is a study using colored lights (2 deg visual field) presented against a neutral background where the authors compared simultaneous color matches with successive. The latter being the memory task, where after a gap of 5 sec. participants were asked to set the colorimeter to the color that had been previously presented also for 5 sec. A comparison between the matches in the simultaneous and the successive condition indicates a consistent increase in Munsell Chroma (and Value to a lesser extent) for the memory matches. In this paper they also describe an older study (their Supplementary Experiment 3) in which participants are asked to select Munsell samples that best represent the recalled colors of a series of unseen objects of highly diagnostic color (brick, sand, grass and dry grass, skin, concrete, pine trees and weathered wood). For some of these objects the memory matches seem to be of higher Munsell Chroma and Value than the 'standards' they compare them to. This latter experiment was recreated by Bartleson [8] using essentially the same methods and arriving at s...

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“…Delahunt and Brainard (2004b) could not report a clear advantage of daylight illuminant changes over other illuminant changes. Daugirdiene, Murray, Vaitkevicius, and Kulikowski (2006) also compared color constancy levels for on-and off-blackbody locus illuminants and did not find superior constancy for the on-blackbody locus illuminants, in line with Hedrich, Bloj, and Ruppertsberg (2009). However, a recent report (Crichton, Pearce, Mackiewicz, Finlayson, & Hurlbert, 2012) measured color constancy for a scene with real objects under a broad range of illuminations, both on and off the daylight locus.…”

Section: Discussionmentioning

confidence: 99%

Variations in daylight as a contextual cue for estimating season, time of day, and weather conditions

Granzier

Valsecchi²

2014

Journal of Vision

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Experience and experiments on human color constancy (i.e., Arend & Reeves, 1986; Craven & Foster, 1992) tell us that we are capable of judging the illumination. However, when asked to make a match of the illuminant's color and brightness, human observers seem to be quite poor (Granzier, Brenner, & Smeets, 2009a). Here we investigate whether human observers use (rather than match) daylight for estimating ecologically important dimensions: time of year, time of day, and outdoor temperature. In the first three experiments we had our observers evaluate calibrated color images of an outdoor urban scene acquired throughout a year. Although some observers could estimate the month and the temperature, overall they were quite poor at judging the time of day. In particular, observers were not able to discriminate between morning and afternoon pictures even when they were allowed to compare multiple images captured on the same day (Experiment 3). However, observers could distinguish between midday and sunset and sunrise daylight. Classification analysis showed that, given a perfect knowledge of its variation, an ideal observer could have performed the task over chance only considering the average chromatic variation in the picture. Instead, our observers reported using shadows to detect the position of the sun in order to estimate the time of day. However, this information is highly unreliable without knowledge of the orientation of the scene. In Experiment 4 we used an LED chamber in order to present our observers with lights whose chromaticity and illuminance varied along the daylight locus, thus isolating the light cues from the sun position cue. We conclude that discriminating the slight variations in chromaticity and brightness, which potentially distinguish morning and afternoon illuminations, lies beyond the ability of human observers.

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Color constancy improves for real 3D objects

Cited by 43 publications

References 54 publications

Categorical color constancy for real surfaces

Categorical color constancy for real surfaces

Bias effects of short- and long-term color memory for unique objects

Variations in daylight as a contextual cue for estimating season, time of day, and weather conditions

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