The accuracy of automated facial landmarking - a comparative study between Cliniface software and patch-based Convoluted Neural Network algorithm
The patch-based CNN algorithm provided a satisfactory accuracy of automatic landmarks detection which is satisfactory for the clinical evaluation of the 3D facial images. Cliniface software is limited in its accuracy in detecting certain landmark which bounds its clinical application.
Authors
- Bodore Al-baker (ORCID: https://orcid.org/0000-0002-2452-0364)
- Ashraf Ayoub (ORCID: https://orcid.org/0000-0002-2760-6008)
- Peter Mossey (ORCID: https://orcid.org/0000-0002-9914-6901)
- Xiangyang Ju (ORCID: https://orcid.org/0000-0003-3471-7256)
Institutions
- National Health Service (GB)
- University of Dundee (GB)
- NHS Greater Glasgow and Clyde (GB)
- Dundee Dental Hospital (GB)
- Hamad Medical Corporation (QA)
- University of Glasgow (GB)
Publication Details
- Journal
- European Journal of Orthodontics
- Published
- 2025-02-07
- DOI
- https://doi.org/10.1093/ejo/cjaf009
- Citations
- 1
- Primary Topic
- Face recognition and analysis
- Type
- article
- Field-Weighted Citation Impact
- 1.28