Rapid scene categorization: From coarse peripheral vision to fine central vision

Trouilloud, Audrey; Kauffmann, Louise; Roux-Sibilon, Alexia; Rossel, Pauline; Boucart, Muriel; Mermillod, Martial; Peyrin, Carole

doi:10.1016/j.visres.2020.02.008

Cited by 21 publications

(30 citation statements)

References 41 publications

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“…Several studies have highlighted the importance of peripheral vision during the categorization of scenes (Trouilloud et al, 2020;Loschky, Szaffarczyk, Beugnet, Young, & Boucart, 2019;Lukavsky, 2019;Geuzebroek & van den Berg, 2018;Boucart, Moroni, Thibaut, Szaffarczyk, & Greene, 2013;Larson & Loschky, 2009). The categorization of scenes remains possible even in far peripheral vision (70°retinal eccentricity; Boucart et al, 2013).…”

Section: Peripheral Vision Influence and Physical Similarity Effectmentioning

confidence: 99%

“…Using a window-scotoma paradigm in which participants saw either the central part of a scene (window stimulus) or the peripheral part by hiding its center (scotoma stimulus), Larson and Loschky (2009) showed that the participants' categorization performance was higher in the scotoma/peripheral than the window/central condition. Using similar stimuli, Trouilloud et al (2020) revealed that scene sequences revealing the peripheral part of a scene before the central part were categorized more rapidly than the reverse sequences. The low resolution of peripheral vision would therefore be more useful than the high resolution of central vision to categorize a scene very quickly.…”

Section: Peripheral Vision Influence and Physical Similarity Effectmentioning

confidence: 99%

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Semantic and Physical Properties of Peripheral Vision Are Used for Scene Categorization in Central Vision

Peyrin

Roux-Sibilon

Trouilloud

et al. 2021

Journal of Cognitive Neuroscience

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Theories of visual recognition postulate that our ability to understand our visual environment at a glance is based on the extraction of the gist of the visual scene, a first global and rudimentary visual representation. Gist perception would be based on the rapid analysis of low spatial frequencies in the visual signal and would allow a coarse categorization of the scene. We aimed to study whether the low spatial resolution information available in peripheral vision could modulate the processing of visual information presented in central vision. We combined behavioral measures (Experiments 1 and 2) and fMRI measures (Experiment 2). Participants categorized a scene presented in central vision (artificial vs. natural categories) while ignoring another scene, either semantically congruent or incongruent, presented in peripheral vision. The two scenes could either share the same physical properties (similar amplitude spectrum and spatial configuration) or not. Categorization of the central scene was impaired by a semantically incongruent peripheral scene, in particular when the two scenes were physically similar. This semantic interference effect was associated with increased activation of the inferior frontal gyrus. When the two scenes were semantically congruent, the dissimilarity of their physical properties impaired the categorization of the central scene. This effect was associated with increased activation in occipito-temporal areas. In line with the hypothesis of predictive mechanisms involved in visual recognition, results suggest that semantic and physical properties of the information coming from peripheral vision would be automatically used to generate predictions that guide the processing of signal in central vision.

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Section: Peripheral Vision Influence and Physical Similarity Effectmentioning

confidence: 99%

Section: Peripheral Vision Influence and Physical Similarity Effectmentioning

confidence: 99%

Semantic and Physical Properties of Peripheral Vision Are Used for Scene Categorization in Central Vision

Peyrin

Roux-Sibilon

Trouilloud

et al. 2021

Journal of Cognitive Neuroscience

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“…Cortical representation of peripheral information is compressed farther, giving more weight to central vision ( Schira et al., 2007 , 2010) . As a result, peripheral vision is not precise but accounts for a much bigger surface on the retina compared to central vision; as such, it is geared toward building a quick but coarse global representation of the environment ( Larson et al., 2009 ; Loschky et al., 2019 ; Trouilloud et al., 2020) . It is sufficient to reliably achieve visual processing tasks such as object and scene perception ( Boucart et al., 2013 , 2016 ; Thibaut et al., 2016 ; Loschky et al., 2019) , color perception ( Na et al., 2006 ; Hansen et al., 2009) , or action recognition ( Fademrecht et al., 2016) at high retinal eccentricities (50 to 70 degrees).…”

Section: Introductionmentioning

confidence: 99%

The importance of peripheral vision when searching 3D real-world scenes: A gaze-contingent study in virtual reality

2021

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Visual search in natural scenes is a complex task relying on peripheral vision to detect potential targets and central vision to verify them. The segregation of the visual fields has been particularly established by on-screen experiments. We conducted a gaze-contingent experiment in virtual reality in order to test how the perceived roles of central and peripheral visions translated to more natural settings. The use of everyday scenes in virtual reality allowed us to study visual attention by implementing a fairly ecological protocol that cannot be implemented in the real world. Central or peripheral vision was masked during visual search, with target objects selected according to scene semantic rules. Analyzing the resulting search behavior, we found that target objects that were not spatially constrained to a probable location within the scene impacted search measures negatively. Our results diverge from on-screen studies in that search performances were only slightly affected by central vision loss. In particular, a central mask did not impact verification times when the target was grammatically constrained to an anchor object. Our findings demonstrates that the role of central vision (up to 6 degrees of eccentricities) in identifying objects in natural scenes seems to be minor, while the role of peripheral preprocessing of targets in immersive real-world searches may have been underestimated by on-screen experiments.

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“…The functionality of central vision is different from peripheral vision. Central vision is used for fixation and has a higher acuity that makes it useful for tasks such as reading and object identification (Larson & Loschky, 2009;Pelli et al, 2007;Trouilloud et al, 2020;Yoo & Chong, 2012) . The majority of the visual field comprises peripheral vision, which has lower acuity but is responsible for visual tasks such as visual search and getting the gist of a scene (Larson & Loschky, 2009;Rosenholtz, 2016;Trouilloud et al, 2020) .…”

Section: Introductionmentioning

confidence: 99%

“…Central vision is used for fixation and has a higher acuity that makes it useful for tasks such as reading and object identification (Larson & Loschky, 2009;Pelli et al, 2007;Trouilloud et al, 2020;Yoo & Chong, 2012) . The majority of the visual field comprises peripheral vision, which has lower acuity but is responsible for visual tasks such as visual search and getting the gist of a scene (Larson & Loschky, 2009;Rosenholtz, 2016;Trouilloud et al, 2020) . However, differences in acuity between peripheral and central vision alone do not provide a full explanation of the extent of disparity in visual ability with different eccentricities (Levi, Klein, & Aitsebaomo, 1985;Levi, Klein, & Wang, 1994) .…”

Section: Introductionmentioning

confidence: 99%

Frontal cortical regions associated with attention connect more strongly to central than peripheral V1

Sims

Demirayak

Cedotal

et al. 2020

Preprint

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Central and peripheral vision are important for distinct aspects of everyday life. We use central vision to read and peripheral vision to get the gist of a scene. To understand how these differences are reflected in connectivity between V1 and higher-order cognitive areas, we examined the differential connectivity of V1 that represent central and peripheral vision. We used diffusion-weighted-imaging and resting-state blood-oxygen-level-dependent data to examine structural and functional connectivity. The present results demonstrate strong evidence that centrally-representing portions of V1 are more strongly functionally and structurally connected to the fronto-parietal network than are peripherally representing portions of V1. This suggests that these patterns of connections between central V1 and the fronto-parietal network are direct and support attention-demanding visual tasks. Overall, our findings contribute to understanding how the human brain processes visual information and forms a baseline for any modifications in processing that might occur with training or experience.

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Rapid scene categorization: From coarse peripheral vision to fine central vision

Cited by 21 publications

References 41 publications

Semantic and Physical Properties of Peripheral Vision Are Used for Scene Categorization in Central Vision

Semantic and Physical Properties of Peripheral Vision Are Used for Scene Categorization in Central Vision

The importance of peripheral vision when searching 3D real-world scenes: A gaze-contingent study in virtual reality

Frontal cortical regions associated with attention connect more strongly to central than peripheral V1

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