A lifespan database of adult facial stimuli

By Meredith Minear, Denise C. Park. Behavoir research methods, instruments & computers, 2004

1,280 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology

View Paper: https://www.semanticscholar.org/paper/c64e51ab702ecdfc65281eb06fae8722809a0756

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Citations in the corpus

Neural Decoding of Visual Imagery During Sleep (2013, background): “edu) (41); object images from The Object Databank (http://stims.”
Demographic Estimation from Face Images: Human vs. Machine Performance (2015, background): “There has been a growing interest in automatic extraction of demographic information from face images or videos, due to many emerging applications [2], [5], [6].”
The independent effects of skin tone and facial features on Whites' affective reactions to Blacks (2012, methodology): “In Step 1, we created a pool of 120 pictures of Black men with neutral facial expressions, collected from university athletic websites and the Productive Aging Lab Face Database (Minear & Park, 2004).”
ChaLearn Looking at People and Faces of the World: Face AnalysisWorkshop and Challenge 2016 (2016, neutral): “PAL [31] 580 580 19 - 93 Age group No No -”
Disgust facilitates outgroup dehumanization (2013, methodology): “A total of 12 color photographs (six ingroup, six outgroup) were selected from the Productive Aging Lab Face Database (Minear & Park, 2004), each depicting the frontal facial view of a Caucasian adult, aged 18–29, with equal gender representation.”
Optimizing Instructional Policies (2013, background): “The faces were balanced across ethnicity, age, and gender (provided by Minear & Park, 2004).”
The Dark Triad and sexual harassment proclivity (2016, background): “Participants were also asked to view a series of color head and shoulder full-face photographs from the Productive Aging Laboratory (Minear & Park, 2004).”
Facing the situation: Testing a biosocial contingency model of leadership in intergroup relations using masculine and feminine faces (2012, methodology): “Faces of leader candidates (all males) were taken from a neutral expressions faces database maintained by the Center for Vital Longevity (Minear & Park, 2004).”
Loving-kindness meditation increases social connectedness. (2008, methodology): “2 Photographs of faces were obtained from an online face database developed by Minear and Park (2004). 721 BRIEF REPORTS”
Natural ambiguities: Racial categorization of multiracial individuals (2012, methodology): “The monoracial faces, Black and White, were collected by Minear and Park (2004) and used by Peery and Bodenhausen (2008).”
Expectation and Surprise Determine Neural Population Responses in the Ventral Visual Stream (2010, methodology): “Face Database (Minear and Park, 2004); the Cohn–Kanade Facial Ex-”
A Superhumanization Bias in Whites’ Perceptions of Blacks (2015, methodology): “Participants were randomly assigned to one of two versions of the study that were identical except for the photographs of the two targets used (one pair taken from the Minear & Park, 2004, database and one taken from the IAT in Study 1; both were matched on expression).”
Precision functional mapping of individual human brains (2017, neutral): “Face stimuli were taken from several publicly available databases: The Psychological Image Collection at Stirling’s 2D face set (http://pics.psych.stir.ac.uk/); the CNBC Tarrlab ‘‘Face Place’’ repository (wiki.cnbc.cmu.edu/Face_Place; Righi et al., 2012); the Park Aging Mind Laboratory Face Database”
The Chicago face database: A free stimulus set of faces and norming data (2015, neutral): “Like KDEF, some other databases use actors (e.g., Tottenham et al., 2009), but the majority employ lay volunteers (e.g., Belhumeur, Hespanha, & Kriegman, 1997; Minear & Park, 2004; Rhodes, Proffitt, Grady, & Sumich, 1998; Thomaz & Giraldi, 2010).”
Flexible Kernel Memory (2010, methodology): “The faces were obtained from the Productive Aging Lab Face Database [53] and other volunteers (All the face images used in our research were taken from the Productive Aging Lab’s Face In our simulations we created a network with 16 attractors representing 16 different faces; it had 76800 input and…”