Statistical Modeling of Craniofacial Shape and Texture
- Submitting institution
-
University of York
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 62780387
- Type
- D - Journal article
- DOI
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10.1007/s11263-019-01260-7
- Title of journal
- International Journal of Computer Vision
- Article number
- -
- First page
- 547
- Volume
- 128
- Issue
- -
- ISSN
- 0920-5691
- Open access status
- Compliant
- Month of publication
- November
- Year of publication
- 2019
- 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
-
3
- Research group(s)
-
-
- Citation count
- 2
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This is the follow up to our ICCV 2017 paper entitled: 'A 3D Morphable Model of Craniofacial Shape and Texture Variation'. It resulted in attaining two Google Faculty awards. In 2018-19, Headspace Online created the first publicly-available model and dataset of the full human head. In 2019-20 it supported the modelling of AR/VR eyewear fitting. The model is currently being used in an internally-funded PPE mask design project with Amazon as a commercial partner. Over 60 research teams have now been given access to the models and/or data and are actively using them in their research.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -