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PMID: 35396615 Published · ppublish English Journal Article

Face templates for the Chicago Face Database.

Behavior research methods ·Vol. 55 ·No. 2 ·2023-00-00 ·页码 639-645

Singh B, Gambrell A, Correll J

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.

Keywords
Face manipulation Face perception Morph Social perception
MeSH 主题词
Humans Male Female Face Chicago Software Racial Groups Databases, Factual
作者与单位
共 3 位作者,点击展开单位 / ORCID
Singh Balbir ORCID
Department of Psychology and Neuroscience, University of Colorado Boulder, Muenzinger D343D, 345 UCB, Boulder, CO, 80309, USA. [email protected].
Gambrell Ashleigh
Department of Psychology and Neuroscience, University of Colorado Boulder, Muenzinger D343D, 345 UCB, Boulder, CO, 80309, USA.
Correll Joshua
Department of Psychology and Neuroscience, University of Colorado Boulder, Muenzinger D343D, 345 UCB, Boulder, CO, 80309, USA.
Article Info
Journal
Behavior research methods
Abbr.
Behav Res Methods
ISSN
1554-3528
Corresponding email
Published
2023-00-00
电子出版
2022-00-08
页码
639-645
Language
English
Country/Region
United States
NLM ID
101244316
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