Large Scale 3D Morphable Models
- Submitting institution
-
University of Exeter
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1800
- 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
- 0920-5691
- Open access status
- Compliant
- Month of publication
- April
- Year of publication
- 2017
- 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
-
4
- Research group(s)
-
-
- Citation count
- 67
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This article presents the most accurate and largest-scale 3D digital model of human faces from a dataset of more than 10,000 distinct facial identities from a huge range of gender, age and ethnicity combinations. This is achieved through a novel, fully-automated system that establishes dense correspondences among 3D facial scans. It has attracted wide attention from the scientific community and popular science media, with several articles describing research, including the Science Magazine article, "Computer scientists have created the most accurate digital model of a human face. Here's what it can do.", Hutson, Science Magazine, May 2017.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -