How low can you go? Detecting style in extremely low resolution images

Date created: | Last Updated:

: DOI | ARK

Creating DOI. Please wait...

Create DOI

Category: Project

Description: Humans can efficiently see through the complexity of scenes, faces, and objects in order to extract the underlying image structure, the style of an image. It remains unclear, however, whether semantic coding is necessary, and whether global information is sufficient, for people to recognize and discriminate complex visual categories. In two experiments, we reduce the resolution of hundreds of unique paintings, birds, and faces, and test people’s ability to discriminate and recognize them. We show that the global information retained at extremely low image resolutions is sufficient for detecting the style of an image, and for discriminating the style of visual categories, with above-chance accuracy across the three image domains. People were even able to reliably recognize and discriminate natural images reduced down to a single pixel where there is no meaningful categorical structure to rely on. We situate our findings in the context of contemporary computational accounts of visual recognition, and contend that explicit encoding of the local features in the image, or of the semantic category, is not necessary for recognizing and distinguishing among visual categories.

Files

Loading files...

Citation

Components

  • How low can you go? Detecting style in extremely low resolution images

    Humans can efficiently see through the complexity of scenes, faces, and objects in order to extract the underlying image structure, the style of an im...

    Recent Activity

    Loading logs...

  • Supplemental Material: Data Summary, Plots and Analyses

    Includes our final R Markdown report, R Markdown source file, and data summary files for reproducing results.

    Recent Activity

    Loading logs...

  • Stimuli: Paintings, Birds, and Faces

    We compiled three large sets of images for the 'How low can you go' project, spanning three domains: paintings, birds, and faces. Each set consists of...

    Recent Activity

    Loading logs...

  • Software

    The experiments were programmed in LiveCode Community 7.0.6. LiveCode's Community Edition, is a free open source object-oriented, cross-platform, natu...

    Recent Activity

    Loading logs...

Tags

Recent Activity

Loading logs...

This website relies on cookies to help provide a better user experience. By clicking Accept or continuing to use the site, you agree. For more information, see our Privacy Policy and information on cookie use.
Accept
×

Start managing your projects on the OSF today.

Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.

Create an Account Learn More Hide this message