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dc.contributor.authorGarcía Díaz, Antón
dc.contributor.authorLeborán Álvarez, Víctor
dc.contributor.authorFernández Vidal, Xosé Ramón
dc.contributor.authorPardo López, Xosé Manuel
dc.date.accessioned2020-04-08T13:53:14Z
dc.date.available2020-04-08T13:53:14Z
dc.date.issued2012
dc.identifier.citationGarcia-Diaz, A., Leborán, V., Fdez-Vidal, X. R., & Pardo, X. M. (2012). On the relationship between optical variability, visual saliency, and eye fixations: A computational approach. Journal of Vision, 12(6):17, 1–22, http://www. journalofvision.org/content/12/6/17, doi:10.1167/12.6.17
dc.identifier.urihttp://hdl.handle.net/10347/21259
dc.description.abstractA hierarchical definition of optical variability is proposed that links physical magnitudes to visual saliency and yields a more reductionist interpretation than previous approaches. This definition is shown to be grounded on the classical efficient coding hypothesis. Moreover, we propose that a major goal of contextual adaptation mechanisms is to ensure the invariance of the behavior that the contribution of an image point to optical variability elicits in the visual system. This hypothesis and the necessary assumptions are tested through the comparison with human fixations and state-of-the-art approaches to saliency in three open access eye-tracking datasets, including one devoted to images with faces, as well as in a novel experiment using hyperspectral representations of surface reflectance. The results on faces yield a significant reduction of the potential strength of semantic influences compared to previous works. The results on hyperspectral images support the assumptions to estimate optical variability. As well, the proposed approach explains quantitative results related to a visual illusion observed for images of corners, which does not involve eye movements
dc.language.isoeng
dc.publisherAssociation for Research in Vision and Ophthalmology
dc.rights© 2019 ARVO. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) license (https://creativecommons.org/licenses/by-nc-nd/4.0/)
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectOptical variability
dc.subjectContextual adaptation
dc.subjectSaliency
dc.subjectEfficient coding
dc.subjectEye fixations
dc.subjectFace saliency
dc.subjectHyperspectral
dc.titleOn the relationship between optical variability, visual saliency, and eye fixations: a computational approach
dc.typeinfo:eu-repo/semantics/article
dc.identifier.DOI10.1167/12.6.17
dc.relation.publisherversionhttps://doi.org/10.1167/12.6.17
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dc.identifier.e-issn1534-7362
dc.rights.accessrightsinfo:eu-repo/semantics/openAccess
dc.contributor.affiliationUniversidade de Santiago de Compostela. Centro de Investigación en Tecnoloxías da Información
dc.contributor.affiliationUniversidade de Santiago de Compostela. Departamento de Electrónica e Computación
dc.contributor.affiliationUniversidade de Santiago de Compostela. Departamento de Física Aplicada
dc.description.peerreviewedSI


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© 2019 ARVO. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) license (https://creativecommons.org/licenses/by-nc-nd/4.0/)
Except where otherwise noted, this item's license is described as  © 2019 ARVO. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) license (https://creativecommons.org/licenses/by-nc-nd/4.0/)





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