Color Homography: theory and applications
- Submitting institution
-
The University of East Anglia
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 182621326
- Type
- D - Journal article
- DOI
-
10.1109/TPAMI.2017.2760833
- Title of journal
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Article number
- 8141909
- First page
- 20
- Volume
- 41
- Issue
- 1
- ISSN
- 0162-8828
- Open access status
- Compliant
- Month of publication
- January
- Year of publication
- 2019
- URL
-
http://www.scopus.com/inward/record.url?scp=85037615328&partnerID=8YFLogxK
- 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
- Yes
- Number of additional authors
-
2
- Research group(s)
-
-
- Citation count
- 12
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Developed in collaboration with the Schools of Informatics and Engineering at the universities of Edinburgh and Cambridge respectively and under the auspices of the EPSRC grant M001768 - we developed the surprising result that homographies are the apposite tool for relating image colors of the same scene when the photometric capture conditions change (in direct analogy to homographies in geometric computer vision). Impact is evidenced with a keynote presentation (DICTA 2017, Sydney Australia) and invited research visits – to discuss the applications of color homographies - to both Canon Information Systems Research Australia and Apple Inc.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -