ArticleBehavior research methods2023
Face templates for the Chicago Face Database.
Article in Behavior research methods, 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.
- The differences in essential facial areas for impressions between humans and deep learning models: An eye-tracking and explainable AI approach.British journal of psychology (London, England : 1953) · 2026Article
- Artificial Intelligence-Augmented Morphometric Reporting for Standardized Facial Aesthetic Treatment Planning: A Multi-Rater Reliability Study.Journal of cosmetic dermatology · 2026Article
- Cross-modal impacts of olfactory perception and individual differences in emotional responses to odors modulate hedonic evaluations of visual scenes.Chemical senses · 2026Article
- Belief in Gender Role Stereotypes Moderates the Use of Gender Typicality Cues when Making Sexual Orientation Judgements from Faces.Archives of sexual behavior · 2025Article
- A computational approach to investigating facial attractiveness factors using geometric morphometric analysis and deep learning.Scientific reports · 2023Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Researchers often need to manipulate faces, such as developing a continuum between two faces or averaging a set of faces. In order to do so, researchers use morphing software, but they first need to fit a template to the idiosyncratic landmarks in each face. In this paper, we present a set of landmark templates for the Chicago Face Database (CFD; Ma, D. S., Correll, J., & Wittenbrink, B. (2015). The Chicago Face Database: A free stimulus set of faces and norming data. Behavior Research Methods, 47(4), 1122-1135). The CFD is a free online face database containing images of faces of people from various races and genders. We provide templates for each of 597 neutral (non-expressive) faces in version two of the CFD. Our templates are unique because the facial landmarks were hand placed by researchers. Hand placing facial landmarks allows for more accurate placement of landmarks than a computer-generated template. Historically, hand-placed templates were created by individual labs and not shared. In this paper, we describe how our templates were created, and some possible uses for the templates. We hope that our templates ease the burden for other researchers to manipulate faces.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.