The Zeta-image, illuminant estimation, and specularity manipulation
- Submitting institution
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The University of East Anglia
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 182619268
- Type
- D - Journal article
- DOI
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10.1016/j.cviu.2014.07.002
- Title of journal
- Computer Vision and Image Understanding
- Article number
- -
- First page
- 1
- Volume
- 127
- Issue
- -
- ISSN
- 1077-3142
- Open access status
- Out of scope for open access requirements
- Month of publication
- October
- Year of publication
- 2014
- URL
-
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- Supplementary information
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- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
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2
- Research group(s)
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-
- Citation count
- 10
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Problematically, highlights make vision-based tasks such as shape recovery harder but advantageously highlights can help determine the colour of prevailing light. This work develops the zeta image (which makes the detection and manipulation of highlights easier). Significantly, the zeta image has an information-theoretic interpretation where zeta equals zero at specular highlights. Once found, specular highlights, and bright pixels in general, are useful in estimating the colour of the prevailing light. The bright-pixel algorithm subsequently developed in [H. Vaezi Joze, M. Drew, G. Finlayson, P. Troncoso Rey (2012) the Colour & Imaging Conference] remains a leading approach in the field.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -