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Summation of perceptual cues in natural visual scenes

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Summation of perceptual cues in natural visual scenes. / To, M.; Lovell, P. G.; Troscianko, T. et al.
In: Proceedings of the Royal Society B: Biological Sciences, Vol. 275, No. 1649, 22.10.2008, p. 2299-308.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

To, M, Lovell, PG, Troscianko, T & Tolhurst, DJ 2008, 'Summation of perceptual cues in natural visual scenes', Proceedings of the Royal Society B: Biological Sciences, vol. 275, no. 1649, pp. 2299-308. https://doi.org/10.1098/rspb.2008.0692

APA

To, M., Lovell, P. G., Troscianko, T., & Tolhurst, D. J. (2008). Summation of perceptual cues in natural visual scenes. Proceedings of the Royal Society B: Biological Sciences, 275(1649), 2299-308. https://doi.org/10.1098/rspb.2008.0692

Vancouver

To M, Lovell PG, Troscianko T, Tolhurst DJ. Summation of perceptual cues in natural visual scenes. Proceedings of the Royal Society B: Biological Sciences. 2008 Oct 22;275(1649):2299-308. doi: 10.1098/rspb.2008.0692

Author

To, M. ; Lovell, P. G. ; Troscianko, T. et al. / Summation of perceptual cues in natural visual scenes. In: Proceedings of the Royal Society B: Biological Sciences. 2008 ; Vol. 275, No. 1649. pp. 2299-308.

Bibtex

@article{b424b2e24cf0495db5bfcd7e65156a6e,
title = "Summation of perceptual cues in natural visual scenes",
abstract = "Natural visual scenes are rich in information, and any neural system analysing them must piece together the many messages from large arrays of diverse feature detectors. It is known how threshold detection of compound visual stimuli (sinusoidal gratings) is determined by their components' thresholds. We investigate whether similar combination rules apply to the perception of the complex and suprathreshold visual elements in naturalistic visual images. Observers gave magnitude estimations (ratings) of the perceived differences between pairs of images made from photographs of natural scenes. Images in some pairs differed along one stimulus dimension such as object colour, location, size or blur. But, for other image pairs, there were composite differences along two dimensions (e.g. both colour and object-location might change). We examined whether the ratings for such composite pairs could be predicted from the two ratings for the respective pairs in which only one stimulus dimension had changed. We found a pooling relationship similar to that proposed for simple stimuli: Minkowski summation with exponent 2.84 yielded the best predictive power (r=0.96), an exponent similar to that generally reported for compound grating detection. This suggests that theories based on detecting simple stimuli can encompass visual processing of complex, suprathreshold stimuli.",
keywords = "Photic Stimulation, Humans, Models, Statistical, Models, Biological, Visual Perception, Sensory Thresholds, Male, Female",
author = "M. To and Lovell, {P. G.} and T. Troscianko and Tolhurst, {D. J.}",
year = "2008",
month = oct,
day = "22",
doi = "10.1098/rspb.2008.0692",
language = "English",
volume = "275",
pages = "2299--308",
journal = "Proceedings of the Royal Society B: Biological Sciences",
issn = "0962-8452",
publisher = "Royal Society of Chemistry Publishing",
number = "1649",

}

RIS

TY - JOUR

T1 - Summation of perceptual cues in natural visual scenes

AU - To, M.

AU - Lovell, P. G.

AU - Troscianko, T.

AU - Tolhurst, D. J.

PY - 2008/10/22

Y1 - 2008/10/22

N2 - Natural visual scenes are rich in information, and any neural system analysing them must piece together the many messages from large arrays of diverse feature detectors. It is known how threshold detection of compound visual stimuli (sinusoidal gratings) is determined by their components' thresholds. We investigate whether similar combination rules apply to the perception of the complex and suprathreshold visual elements in naturalistic visual images. Observers gave magnitude estimations (ratings) of the perceived differences between pairs of images made from photographs of natural scenes. Images in some pairs differed along one stimulus dimension such as object colour, location, size or blur. But, for other image pairs, there were composite differences along two dimensions (e.g. both colour and object-location might change). We examined whether the ratings for such composite pairs could be predicted from the two ratings for the respective pairs in which only one stimulus dimension had changed. We found a pooling relationship similar to that proposed for simple stimuli: Minkowski summation with exponent 2.84 yielded the best predictive power (r=0.96), an exponent similar to that generally reported for compound grating detection. This suggests that theories based on detecting simple stimuli can encompass visual processing of complex, suprathreshold stimuli.

AB - Natural visual scenes are rich in information, and any neural system analysing them must piece together the many messages from large arrays of diverse feature detectors. It is known how threshold detection of compound visual stimuli (sinusoidal gratings) is determined by their components' thresholds. We investigate whether similar combination rules apply to the perception of the complex and suprathreshold visual elements in naturalistic visual images. Observers gave magnitude estimations (ratings) of the perceived differences between pairs of images made from photographs of natural scenes. Images in some pairs differed along one stimulus dimension such as object colour, location, size or blur. But, for other image pairs, there were composite differences along two dimensions (e.g. both colour and object-location might change). We examined whether the ratings for such composite pairs could be predicted from the two ratings for the respective pairs in which only one stimulus dimension had changed. We found a pooling relationship similar to that proposed for simple stimuli: Minkowski summation with exponent 2.84 yielded the best predictive power (r=0.96), an exponent similar to that generally reported for compound grating detection. This suggests that theories based on detecting simple stimuli can encompass visual processing of complex, suprathreshold stimuli.

KW - Photic Stimulation

KW - Humans

KW - Models, Statistical

KW - Models, Biological

KW - Visual Perception

KW - Sensory Thresholds

KW - Male

KW - Female

UR - http://www.scopus.com/inward/record.url?scp=51449099660&partnerID=8YFLogxK

U2 - 10.1098/rspb.2008.0692

DO - 10.1098/rspb.2008.0692

M3 - Journal article

C2 - 18628119

VL - 275

SP - 2299

EP - 2308

JO - Proceedings of the Royal Society B: Biological Sciences

JF - Proceedings of the Royal Society B: Biological Sciences

SN - 0962-8452

IS - 1649

ER -