Nonlinear binocular summation and interocular suppression implement binocular fusion

a unification of two models

M. Georgeson, S. Wallis

Research output: Contribution to journalMeeting abstract

Abstract

A striking feature of binocular vision is that different images in the two eyes can be ‘fused’ in perception,m yet little is known about how fusion is achieved. We studied fusion and diplopia for Gaussian-blurred, horizontal edges with vertical disparity (silencing stereo vision). For a wide range of blurs B, the range of fusion is about 2.5B. If fusion linearly summed or averaged the monocular signals, we should expect fused edges to look increasingly blurred as disparity increased. In a blur-matching task, we found that this was true when the two edges were physically added (monocular control), but for dichoptic edges perceived blur was nearly invariant with disparity. We show that such fusion, preserving blur, occurs if luminance gradients are computed for each eye, and then the two Gaussian gradient profiles are combined as a contrast-weighted geometric mean. Finally, we show that this model for fusion is almost exactly equivalent to our earlier two-stage model derived from experiments on binocular and dichoptic contrast discrimination (Meese, Georgeson, and Baker, 2006 Journal of Vision). The binocular interactions proposed there can now be seen to implement the contrast-weighted geometric mean, and thus to achieve blur-preserving binocular fusion, followed by signal compression.
Original languageEnglish
Pages (from-to)16
Number of pages1
JournalPerception
Volume41
Issue numberSuppl.1
Publication statusPublished - Sep 2012
Event35th European Conference on Visual Perception - Alghero, Italy
Duration: 2 Sep 20126 Sep 2012

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Binoculars
Fusion reactions
Binocular Vision
Diplopia
Binocular vision
Stereo vision
Luminance
Discrimination (Psychology)

Bibliographical note

ECVP 2012 Abstracts

Cite this

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title = "Nonlinear binocular summation and interocular suppression implement binocular fusion: a unification of two models",
abstract = "A striking feature of binocular vision is that different images in the two eyes can be ‘fused’ in perception,m yet little is known about how fusion is achieved. We studied fusion and diplopia for Gaussian-blurred, horizontal edges with vertical disparity (silencing stereo vision). For a wide range of blurs B, the range of fusion is about 2.5B. If fusion linearly summed or averaged the monocular signals, we should expect fused edges to look increasingly blurred as disparity increased. In a blur-matching task, we found that this was true when the two edges were physically added (monocular control), but for dichoptic edges perceived blur was nearly invariant with disparity. We show that such fusion, preserving blur, occurs if luminance gradients are computed for each eye, and then the two Gaussian gradient profiles are combined as a contrast-weighted geometric mean. Finally, we show that this model for fusion is almost exactly equivalent to our earlier two-stage model derived from experiments on binocular and dichoptic contrast discrimination (Meese, Georgeson, and Baker, 2006 Journal of Vision). The binocular interactions proposed there can now be seen to implement the contrast-weighted geometric mean, and thus to achieve blur-preserving binocular fusion, followed by signal compression.",
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Nonlinear binocular summation and interocular suppression implement binocular fusion : a unification of two models. / Georgeson, M.; Wallis, S.

In: Perception, Vol. 41, No. Suppl.1, 09.2012, p. 16.

Research output: Contribution to journalMeeting abstract

TY - JOUR

T1 - Nonlinear binocular summation and interocular suppression implement binocular fusion

T2 - a unification of two models

AU - Georgeson, M.

AU - Wallis, S.

N1 - ECVP 2012 Abstracts

PY - 2012/9

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N2 - A striking feature of binocular vision is that different images in the two eyes can be ‘fused’ in perception,m yet little is known about how fusion is achieved. We studied fusion and diplopia for Gaussian-blurred, horizontal edges with vertical disparity (silencing stereo vision). For a wide range of blurs B, the range of fusion is about 2.5B. If fusion linearly summed or averaged the monocular signals, we should expect fused edges to look increasingly blurred as disparity increased. In a blur-matching task, we found that this was true when the two edges were physically added (monocular control), but for dichoptic edges perceived blur was nearly invariant with disparity. We show that such fusion, preserving blur, occurs if luminance gradients are computed for each eye, and then the two Gaussian gradient profiles are combined as a contrast-weighted geometric mean. Finally, we show that this model for fusion is almost exactly equivalent to our earlier two-stage model derived from experiments on binocular and dichoptic contrast discrimination (Meese, Georgeson, and Baker, 2006 Journal of Vision). The binocular interactions proposed there can now be seen to implement the contrast-weighted geometric mean, and thus to achieve blur-preserving binocular fusion, followed by signal compression.

AB - A striking feature of binocular vision is that different images in the two eyes can be ‘fused’ in perception,m yet little is known about how fusion is achieved. We studied fusion and diplopia for Gaussian-blurred, horizontal edges with vertical disparity (silencing stereo vision). For a wide range of blurs B, the range of fusion is about 2.5B. If fusion linearly summed or averaged the monocular signals, we should expect fused edges to look increasingly blurred as disparity increased. In a blur-matching task, we found that this was true when the two edges were physically added (monocular control), but for dichoptic edges perceived blur was nearly invariant with disparity. We show that such fusion, preserving blur, occurs if luminance gradients are computed for each eye, and then the two Gaussian gradient profiles are combined as a contrast-weighted geometric mean. Finally, we show that this model for fusion is almost exactly equivalent to our earlier two-stage model derived from experiments on binocular and dichoptic contrast discrimination (Meese, Georgeson, and Baker, 2006 Journal of Vision). The binocular interactions proposed there can now be seen to implement the contrast-weighted geometric mean, and thus to achieve blur-preserving binocular fusion, followed by signal compression.

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JO - Perception

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SN - 0301-0066

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