User-Guided Facial Animation through an Evolutionary Interface
- Submitting institution
-
The University of Bath
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 190827830
- Type
- D - Journal article
- DOI
-
10.1111/cgf.13612
- Title of journal
- Computer Graphics Forum
- Article number
- -
- First page
- 165
- Volume
- 38
- Issue
- 6
- ISSN
- 0167-7055
- Open access status
- Compliant
- Month of publication
- March
- Year of publication
- 2019
- URL
-
-
- Supplementary information
-
https://onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1111%2Fcgf.13612&file=cgf13612-sup-0001-Results.mp4
- 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
-
1
- Research group(s)
-
-
- Citation count
- 0
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Creating face animations with different expressions typically requires a degree of skill or training, which excludes many members of the public. For example, we may wish to know how an autistic child sees a ‘happy face’ and want them to create this. Our method allows anybody to intuitively create facial expressions with no training – allowing us to build models of how different groups visualize faces. This has led to publications with Psychologists involving hundreds of people from different psychiatric groups [Psych. Science 2020, Cognition and Emotion, 2020]
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -