Constancy, Categories and Bayes: A New Approach to Representational Theories of Color Constancy

Bradley, Peter

doi:10.1080/09515080802412339

Cited by 3 publications

(1 citation statement)

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“…As both its name and the initial examples used to introduce the phenomenon above suggest, perceptual constancy is, in some sense yet to be explained, about the absence of change. Indeed, the textbook characterization has it that perceptual constancy is nothing more or less than a stability in perceptual 1 Recently a number of philosophers have returned to issues about constancy anew; for example, see Hilbert (2005); Thompson (2006); Cohen (2008); Bradley (2008); Gert (2010); Matthen (2010). Also see Burge (2010), for whom perceptual constancy is used as a touchstone for the objectivity of intentional representation quite generally.…”

Section: Perceptual Constancy As Perceptual Stabilitymentioning

confidence: 99%

Perceptual Constancy

Cohen¹

2014

Oxford Handbooks Online

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Our eyes deceive us when we look down railway tracks, but our brains do not. The rails appear to converge in the distance, but we know that the rails are parallel. We know that they are the same distance apart a mile down the track as they are where we are standing, so the brain says, "The tracks only appear to converge because they are distant." But how does the brian know that the tracks are distant? The brain answers, "They must be distant because they appear to converge." (The flow of this logic must shock computer programmers, but they are accustomed to the limitations of inferior hardware.) (Hunter et al., 2007, 82)

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Section: Perceptual Constancy As Perceptual Stabilitymentioning

confidence: 99%

Perceptual Constancy

Cohen¹

2014

Oxford Handbooks Online

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References

2012

Color in Computer Vision

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Computational Color Constancy: Survey and Experiments

Gijsenij

Gevers

Weijer

2011

IEEE Trans. on Image Process.

508

391

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Computational color constancy is a fundamental prerequisite for many computer vision applications. This paper presents a survey of many recent developments and state-of-the-art methods. Several criteria are proposed that are used to assess the approaches. A taxonomy of existing algorithms is proposed and methods are separated in three groups: static methods, gamut-based methods, and learning-based methods. Further, the experimental setup is discussed including an overview of publicly available datasets. Finally, various freely available methods, of which some are considered to be state of the art, are evaluated on two datasets.

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Constancy, Categories and Bayes: A New Approach to Representational Theories of Color Constancy

Cited by 3 publications

References 59 publications

Perceptual Constancy

Perceptual Constancy

References

Computational Color Constancy: Survey and Experiments

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