Polarisation photometric stereo
- Submitting institution
-
University of the West of England, Bristol
- Unit of assessment
- 12 - Engineering
- Output identifier
- 883608
- Type
- D - Journal article
- DOI
-
10.1016/j.cviu.2017.04.014
- Title of journal
- Computer Vision and Image Understanding
- Article number
- -
- First page
- 158
- Volume
- 160
- Issue
- -
- ISSN
- 1077-3142
- Open access status
- Compliant
- Month of publication
- May
- Year of publication
- 2017
- URL
-
http://dx.doi.org/10.1016/j.cviu.2017.04.014
- 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
-
0
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The work described here led to the author’s one-year secondment to the National Composites Centre (Jon Butt, Jonathan.butt@nccuk.com), applying expertise in machine vision to the composites industry. Follow-on contributions ranged from novel inspection methods to statistical analysis of manufactured material. Collaborative work is ongoing via the Digital Engineering Technology & Innovation scheme (DETI PoC3.10) funded by the West of England Combined Authority to drive innovation and digitally enabled recovery following the Coronavirus outbreak.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
