Example outputs of the Texture Tiling Model ("mongrels")
Name
mongrel_examples.zip
Description
Example mongrels for Figures 3, 4, 7, and 16
Size
1.23 MB
Format
ZIP
Checksum (MD5)
2deaf2871176d78b8f967003faaad392
Author(s)
Rosenholtz, Ruth
Yu, Dian
Keshvari, Shaiyan
Date Issued
July 2019
Citation
Ruth Rosenholtz, Dian Yu, Shaiyan Keshvari; Challenges to pooling models of crowding: Implications for visual mechanisms. Journal of Vision 2019;19(7):15. doi: https://doi.org/10.1167/19.7.15.
Abstract
Our Texture Tiling Model takes a stimulus and fixation as the input, and outputs visualizations of the information available in peripheral vision, according to the model. We call these output images "mongrels". Each input image and fixation corresponds to a number such mongrels. Details that are clear in the mongrels are predicted to be readily available in peripheral vision, and details that are not consistently clear in the mongrels are predicted to be lost or less readily available. This set are additional examples to supplement those shown in our review paper:
Ruth Rosenholtz, Dian Yu, Shaiyan Keshvari; Challenges to pooling models of crowding: Implications for visual mechanisms. Journal of Vision 2019;19(7):15. doi: https://doi.org/10.1167/19.7.15.
Subjects
crowding
peripheral vision
computational model
mongrels
Persistent DSpace Link
