Tuesday, April 19, 2016
Estimating the Face of Jesus in the Minds of Participants Who Vary in Attitudes and Religiosity
Project Type
Faculty Scholarship
Presentation Type
Presentation
Abstract
This study applies reverse correlation image classification (RCIC) techniques to estimate the mental representation of the face of Jesus Christ in the minds of participants who vary in attitudes towards Christ. RCIC presents participants with a base face over which randomly varying sinusoidal noise has been superimposed, generating hundreds of subtly different versions of the original base image.
Permission Type
This work is licensed under a Creative Commons Attribution 4.0 License.
Estimating the Face of Jesus in the Minds of Participants Who Vary in Attitudes and Religiosity
Reed 330
This study applies reverse correlation image classification (RCIC) techniques to estimate the mental representation of the face of Jesus Christ in the minds of participants who vary in attitudes towards Christ. RCIC presents participants with a base face over which randomly varying sinusoidal noise has been superimposed, generating hundreds of subtly different versions of the original base image.