How Far are We from Solving the 2D & 3D Face Alignment Problem? (and a Dataset of 230,000 3D Facial Landmarks)
- Submitting institution
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Queen Mary University of London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 531
- Type
- E - Conference contribution
- DOI
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10.1109/ICCV.2017.116
- Title of conference / published proceedings
- Proceedings of the IEEE International Conference on Computer Vision
- First page
- 1021
- Volume
- 2017-October
- Issue
- -
- ISSN
- 1550-5499
- Open access status
- Technical exception
- Month of publication
- December
- Year of publication
- 2017
- URL
-
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- 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
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1
- Research group(s)
-
-
- Citation count
- 125
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- "Software released on GitHub for this work has been widely used by the researchers/ practitioners, having attracted more than 3,900 stars (also featured on GitHub trending). See https://github.com/1adrianb/face-alignment. This work also provides the technology for the Face Tracking Software used in Samsung AI Center, Cambridge (Contact: Prof. Andrew Blake, Chair of Samsung AI Center, Cambridge, ab@ablake.ai). The paper and software originated from EPSRC project: EP/M02153X/1 (2015-16, £98.6k).
Finally, the work appears on the first page of Google search for the term “face alignment”.
"
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -