Visual perception of texture regularity: Conjoint measurements and a wavelet response-distribution model.

Texture regularity, such as the repeating pattern in a carpet, brickwork or tree bark, is a ubiquitous feature of the visual world. The perception of regularity has generally been studied using multi-element textures in which the degree of regularity has been manipulated by adding random jitter to t...

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Autores principales:	Hua-Chun Sun, David St-Amand, Curtis L Baker, Frederick A A Kingdom
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/6aaf6b0a23d74056a2c01d77a579a9fb
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spelling	oai:doaj.org-article:6aaf6b0a23d74056a2c01d77a579a9fb2021-12-02T19:57:29ZVisual perception of texture regularity: Conjoint measurements and a wavelet response-distribution model.1553-734X1553-735810.1371/journal.pcbi.1008802https://doaj.org/article/6aaf6b0a23d74056a2c01d77a579a9fb2021-10-01T00:00:00Zhttps://doi.org/10.1371/journal.pcbi.1008802https://doaj.org/toc/1553-734Xhttps://doaj.org/toc/1553-7358Texture regularity, such as the repeating pattern in a carpet, brickwork or tree bark, is a ubiquitous feature of the visual world. The perception of regularity has generally been studied using multi-element textures in which the degree of regularity has been manipulated by adding random jitter to the elements' positions. Here we used three-factor Maximum Likelihood Conjoint Measurement (MLCM) for the first time to investigate the encoding of regularity information under more complex conditions in which element spacing and size, in addition to positional jitter, were manipulated. Human observers were presented with large numbers of pairs of multi-element stimuli with varying levels of the three factors, and indicated on each trial which stimulus appeared more regular. All three factors contributed to regularity perception. Jitter, as expected, strongly affected regularity perception. This effect of jitter on regularity perception is strongest at small element spacing and large texture element size, suggesting that the visual system utilizes the edge-to-edge distance between elements as the basis for regularity judgments. We then examined how the responses of a bank of Gabor wavelet spatial filters might account for our results. Our analysis indicates that the peakedness of the spatial frequency (SF) distribution, a previously favored proposal, is insufficient for regularity encoding since it varied more with element spacing and size than with jitter. Instead, our results support the idea that the visual system may extract texture regularity information from the moments of the SF-distribution across orientation. In our best-performing model, the variance of SF-distribution skew across orientations can explain 70% of the variance of estimated texture regularity from our data, suggesting that it could provide a candidate read-out for perceived regularity.Hua-Chun SunDavid St-AmandCurtis L BakerFrederick A A KingdomPublic Library of Science (PLoS)articleBiology (General)QH301-705.5ENPLoS Computational Biology, Vol 17, Iss 10, p e1008802 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 Hua-Chun Sun David St-Amand Curtis L Baker Frederick A A Kingdom Visual perception of texture regularity: Conjoint measurements and a wavelet response-distribution model.
description	Texture regularity, such as the repeating pattern in a carpet, brickwork or tree bark, is a ubiquitous feature of the visual world. The perception of regularity has generally been studied using multi-element textures in which the degree of regularity has been manipulated by adding random jitter to the elements' positions. Here we used three-factor Maximum Likelihood Conjoint Measurement (MLCM) for the first time to investigate the encoding of regularity information under more complex conditions in which element spacing and size, in addition to positional jitter, were manipulated. Human observers were presented with large numbers of pairs of multi-element stimuli with varying levels of the three factors, and indicated on each trial which stimulus appeared more regular. All three factors contributed to regularity perception. Jitter, as expected, strongly affected regularity perception. This effect of jitter on regularity perception is strongest at small element spacing and large texture element size, suggesting that the visual system utilizes the edge-to-edge distance between elements as the basis for regularity judgments. We then examined how the responses of a bank of Gabor wavelet spatial filters might account for our results. Our analysis indicates that the peakedness of the spatial frequency (SF) distribution, a previously favored proposal, is insufficient for regularity encoding since it varied more with element spacing and size than with jitter. Instead, our results support the idea that the visual system may extract texture regularity information from the moments of the SF-distribution across orientation. In our best-performing model, the variance of SF-distribution skew across orientations can explain 70% of the variance of estimated texture regularity from our data, suggesting that it could provide a candidate read-out for perceived regularity.
format	article
author	Hua-Chun Sun David St-Amand Curtis L Baker Frederick A A Kingdom
author_facet	Hua-Chun Sun David St-Amand Curtis L Baker Frederick A A Kingdom
author_sort	Hua-Chun Sun
title	Visual perception of texture regularity: Conjoint measurements and a wavelet response-distribution model.
title_short	Visual perception of texture regularity: Conjoint measurements and a wavelet response-distribution model.
title_full	Visual perception of texture regularity: Conjoint measurements and a wavelet response-distribution model.
title_fullStr	Visual perception of texture regularity: Conjoint measurements and a wavelet response-distribution model.
title_full_unstemmed	Visual perception of texture regularity: Conjoint measurements and a wavelet response-distribution model.
title_sort	visual perception of texture regularity: conjoint measurements and a wavelet response-distribution model.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/6aaf6b0a23d74056a2c01d77a579a9fb
work_keys_str_mv	AT huachunsun visualperceptionoftextureregularityconjointmeasurementsandawaveletresponsedistributionmodel AT davidstamand visualperceptionoftextureregularityconjointmeasurementsandawaveletresponsedistributionmodel AT curtislbaker visualperceptionoftextureregularityconjointmeasurementsandawaveletresponsedistributionmodel AT frederickaakingdom visualperceptionoftextureregularityconjointmeasurementsandawaveletresponsedistributionmodel
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Visual perception of texture regularity: Conjoint measurements and a wavelet response-distribution model.

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