Color Homography: Theory and Applications
- Submitting institution
-
University of Edinburgh
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 57842399
- Type
- D - Journal article
- DOI
-
10.1109/TPAMI.2017.2760833
- Title of journal
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Article number
- -
- First page
- 20
- Volume
- 41
- Issue
- 1
- ISSN
- 0162-8828
- Open access status
- Compliant
- Month of publication
- December
- Year of publication
- 2017
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
2
- Research group(s)
-
D - Language, Interaction and Robotics
- Citation count
- 12
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Colour correction and invariance is a key element to many colour imaging tasks, such as true colour photography, object recognition, and medical diagnosis. Standard colour correction methods require insertion of a known colour chart into the scene. The paper demonstrates the surprising result that the relationship between scene colours under different lighting conditions can be modeled by a homography in colour space, which then allows correct colour modification, correction, and calculations of colour invariants. This result is verified using both mathematical and empirical studies, using an algorithmic implementation.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -