Adults prefer to look at real objects more than photos

Document Type

Article

Publication Date

2019

Journal

Journal of Vision

Volume

19

Issue

10

First Page

58c

Last Page

58c

URL with Digital Object Identifier

https://doi.org/10.1167/19.10.58c

Abstract

Vision Sciences Society Annual Meeting Abstract | September 2019

Researchers may seek to manipulate visual recognition while maintaining the the underlying low-level visual properties of an image. To this end, researchers have used a class of stimuli known as “texforms” that are unrecognisable yet closely match the low-level properties of the original, recognizable stimuli from which they are synthesized. Texforms, however, can require a significant amount of time to generate using parameters specified by previous researchers, thereby limiting one’s ability to conduct studies that require many exemplars. Furthermore, if a researcher seeks to manipulate the recognisability of texforms to varying degrees, the computational processing time can increase even further. By using different parameters, we show that one can synthesize texforms much more quickly, which permits the generation of many exemplars at different degrees of recognisability. We also compare the low-level visual properties of the texforms generated with different parameters.

Creative Commons License

Creative Commons Attribution 4.0 License
This work is licensed under a Creative Commons Attribution 4.0 License.

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