Gender recognition from facial images: Two or three dimensions?
- Submitting institution
-
University of the West of England, Bristol
- Unit of assessment
- 12 - Engineering
- Output identifier
- 909688
- Type
- D - Journal article
- DOI
-
10.1364/JOSAA.33.000333
- Title of journal
- Journal of the Optical Society of America A
- Article number
- -
- First page
- 333
- Volume
- 33
- Issue
- 3
- ISSN
- 1084-7529
- Open access status
- Out of scope for open access requirements
- Month of publication
- March
- Year of publication
- 2016
- URL
-
http://dx.doi.org/10.1364/JOSAA.33.000333
- 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
-
3
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The 3D imaging system proposed in this research has contributed to the award of funding by the Rail Safety and Standards Board (SC02-FTD-01) and a collaboration between UWE and Cubic Transportation Systems in the Gateless Gatelines project. Employing active illumination for high-resolution 3D face reconstruction and face recognition, a prototype of this system that utilises face biometrics for train ticket validation was demonstrated at the London Transport Museum and various other technology exhibition events in Europe. This technology has received considerable media attention, including items on BBC News, BBC Points West and the Times in 2017.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
