ArticleFrontiers in neuroscience2023
Facial morphometric differences across face databases: influence of ethnicities and sex.
Article in Frontiers in neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 10 citations in OpenAlex.
- Artificial Intelligence-Augmented Morphometric Reporting for Standardized Facial Aesthetic Treatment Planning: A Multi-Rater Reliability Study.Journal of cosmetic dermatology · 2026Article
- Fostering equity in precision health through diverse 3D facial data.Frontiers in medical technology · 2026Article
- Decoding Facial Dissymmetry: A Comparative Morphological Study on Human Skulls and Facial Structures.Plastic and reconstructive surgery. Global open · 2025Article
- Comparison of Mirroring and Overlapping Analysis and Three-Dimensional Soft Tissue Spatial Angle Wireframe Template in Evaluating Facial Asymmetry.Bioengineering (Basel, Switzerland) · 2025Article
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The scientific need for standardized, high-quality facial stimuli has driven the creation of several face image databases in recent years. These stimuli are particularly important in facial asymmetry research. However, previous studies have reported facial anthropometric differences across a variety of ethnicities. This highlights the need to investigate whether these differences can also impact the use of face image databases, particularly in facial asymmetry research. In this study, we investigated facial asymmetry-based morphometric differences between the multi-ethnic Chicago Face Database (CFD) and the LACOP Face Database, which is composed of Brazilian subjects. We found reliable differences in facial asymmetry between the two databases, which were related to ethnic groups. Specifically, differences in eye and mouth asymmetry seem to drive these differences. The asymmetry-based morphometric differences among databases and ethnicities found in this study reinforce the necessity of creating multi-ethnic face databases.
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