The reproduction angular error for evaluating the performance of illuminant estimation algorithms
- Submitting institution
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The University of East Anglia
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 182620595
- Type
- D - Journal article
- DOI
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10.1109/TPAMI.2016.2582171
- Title of journal
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Article number
- -
- First page
- 1482
- Volume
- 39
- Issue
- 7
- ISSN
- 0162-8828
- Open access status
- Other exception
- Month of publication
- July
- Year of publication
- 2017
- URL
-
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- Supplementary information
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- Request cross-referral to
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- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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2
- Research group(s)
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-
- Citation count
- 15
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Since [Finlayson G.D. (1995), International Conference on Computer Vision] the angle between the RGB of the estimated illuminant and the ground truth correct answer has been used as a performance measure to assess the efficacy of illuminant estimation algorithms. But, this measure does not tally with perceptual colour response. In the EPSRC grant H022236 and in collaboration with the institute of Neuroscience (U. of Newcastle) the reproduction angular error (RAE) was developed to predict perceptual performance [Zakizadeh and Finlayson (2017). The Color & Imaging Conference]. The RAE is now adopted in a yearly illuminant estimation challenge, see www.isispa.org.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -