Height-from-Polarisation with Unknown Lighting or Albedo
- Submitting institution
-
University of York
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 59957491
- Type
- D - Journal article
- DOI
-
10.1109/TPAMI.2018.2868065
- Title of journal
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Article number
- -
- First page
- 2875
- Volume
- 41
- Issue
- 12
- ISSN
- 0162-8828
- Open access status
- Compliant
- Month of publication
- September
- Year of publication
- 2018
- 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)
-
-
- Citation count
- 2
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work extends an ECCV 2016 paper presented as short oral spotlight (4.7% acceptance rate). Work undertaken during EPSRC-funded sabbatical to UCSD. Collaboration with Ramamoorthi (UCSD) and Tozza (Sapienza Rome). The implementation was open sourced and the work has had significant influence on recent developments on shape-from-polarisation including work from (Kadambi, UCLA), (Kautz, NVIDIA), (Cipolla, Cambridge) and (Raskar, MIT).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -