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A toolbox and sample object perception data for equalization of natural images
For psychologists and neuroscientists, careful selection of their stimuli is essential, so that low-level visual features such as color or spatial frequency do not serve as confounds between conditions of interest. Here, we detail the Natural Image Statistical Toolbox, which allows scientists to mea...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4660227/ https://www.ncbi.nlm.nih.gov/pubmed/26693521 http://dx.doi.org/10.1016/j.dib.2015.10.030 |
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author | Bainbridge, Wilma A. Oliva, Aude |
author_facet | Bainbridge, Wilma A. Oliva, Aude |
author_sort | Bainbridge, Wilma A. |
collection | PubMed |
description | For psychologists and neuroscientists, careful selection of their stimuli is essential, so that low-level visual features such as color or spatial frequency do not serve as confounds between conditions of interest. Here, we detail the Natural Image Statistical Toolbox, which allows scientists to measure, visualize, and control stimulus sets along a set of low-level visual properties. Additionally, we provide a set of object images varying along several perceptual object properties, including physical size and interaction envelope size (i.e., the space around an object transversed during an interaction), serving as a test-bed for the Natural Image Statistical Toolbox. This stimulus set is also a highly characterized set useful to psychology and neuroscience studies on object perception. |
format | Online Article Text |
id | pubmed-4660227 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-46602272015-12-21 A toolbox and sample object perception data for equalization of natural images Bainbridge, Wilma A. Oliva, Aude Data Brief Data Article For psychologists and neuroscientists, careful selection of their stimuli is essential, so that low-level visual features such as color or spatial frequency do not serve as confounds between conditions of interest. Here, we detail the Natural Image Statistical Toolbox, which allows scientists to measure, visualize, and control stimulus sets along a set of low-level visual properties. Additionally, we provide a set of object images varying along several perceptual object properties, including physical size and interaction envelope size (i.e., the space around an object transversed during an interaction), serving as a test-bed for the Natural Image Statistical Toolbox. This stimulus set is also a highly characterized set useful to psychology and neuroscience studies on object perception. Elsevier 2015-11-06 /pmc/articles/PMC4660227/ /pubmed/26693521 http://dx.doi.org/10.1016/j.dib.2015.10.030 Text en © 2015 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Data Article Bainbridge, Wilma A. Oliva, Aude A toolbox and sample object perception data for equalization of natural images |
title | A toolbox and sample object perception data for equalization of natural images |
title_full | A toolbox and sample object perception data for equalization of natural images |
title_fullStr | A toolbox and sample object perception data for equalization of natural images |
title_full_unstemmed | A toolbox and sample object perception data for equalization of natural images |
title_short | A toolbox and sample object perception data for equalization of natural images |
title_sort | toolbox and sample object perception data for equalization of natural images |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4660227/ https://www.ncbi.nlm.nih.gov/pubmed/26693521 http://dx.doi.org/10.1016/j.dib.2015.10.030 |
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