Large scale 3D morphable models
- Submitting institution
-
Imperial College of Science, Technology and Medicine
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 2411
- Type
- D - Journal article
- DOI
-
10.1007/s11263-017-1009-7
- Title of journal
- International Journal of Computer Vision
- Article number
- -
- First page
- 233
- Volume
- 126
- Issue
- 2-4
- ISSN
- 1573-1405
- Open access status
- Compliant
- Month of publication
- April
- Year of publication
- 2017
- URL
-
-
- Supplementary information
-
10.1007/s11263-017-1009-7
- 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
-
4
- Research group(s)
-
-
- Citation count
- 67
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- First fully automatically constructed 3D morphable model of the human face, learned from 10,000 different subjects. Comfortably outperforms the existing state-of-the-art, ushering in a new era of large-scale 3DMMs. Led to Booth's award of the very competitive 2015 European Qualcomm Innovation Fellowship and Zafeiriou's Google Faculty Research Award (£60K). The model has been made publicly available and >500 licenses have been provided to hospitals to guide facial surgery. Showcased in Science in May 2017 (doi.org/10.1126/science.aal1136).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
