Assessment of autostereoscopic perception using artificial intelligence-enhanced face tracking technology
The integration of AI-based autostereoscopic technology with sub-pixel precision demonstrates significant potential for clinical stereopsis measurements.
Authors
- Huang Wu (ORCID: https://orcid.org/0000-0001-6167-5659)
- Bo Yu (ORCID: https://orcid.org/0000-0001-6829-4613)
- Ning Yang (ORCID: https://orcid.org/0000-0002-0606-4625)
- Lingzhi Zhao (ORCID: https://orcid.org/0000-0002-8104-1124)
- Lu Liu (ORCID: https://orcid.org/0000-0001-6849-2628)
Institutions
- Second Affiliated Hospital of Jilin University (CN)
Publication Details
- Journal
- PLoS ONE
- Published
- 2024-10-17
- DOI
- https://doi.org/10.1371/journal.pone.0312153
- Primary Topic
- Face recognition and analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Jilin University
- Jilin Scientific and Technological Development Program