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Decomposing intensity gradients into information about shape and material

hal.structure.identifierLaboratoire Photonique, Numérique et Nanosciences [LP2N]
hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
hal.structure.identifierMelting the frontiers between Light, Shape and Matter [MANAO]
dc.contributor.authorBARLA, Pascal
hal.structure.identifierModels and Algorithms for Visualization and Rendering [MAVERICK]
dc.contributor.authorVERGNE, Romain
hal.structure.identifierAbteilung Allgemeine Psychologie [Giessen]
dc.contributor.authorFLEMING, Roland
dc.date.accessioned2023-05-12T10:21:37Z
dc.date.available2023-05-12T10:21:37Z
dc.date.issued2013-07-24
dc.identifier.issn1534-7362
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/181116
dc.description.abstractEnRecent work has shown that the perception of 3D shapes, material properties and illumination are inter-dependent, although for practical reasons, each set of experiments has probed these three causal factors independently. Most of these studies share a common observation though: that variations in image intensity (both their magnitude and direction) play a central role in estimating the physical properties of objects and illumination. Our aim is to separate retinal image intensity gradients into contributions of different shape and material properties, through a theoretical analysis of image formation. We find that gradients can be understood as the sum of three terms: variations of surface depth conveyed through surface-varying reflectance and near-field illumination effects (shadows and inter-reflections); variations of surface orientation conveyed through reflections and far-field lighting effects; and variations of surface micro-structures conveyed through anisotropic reflections. We believe our image gradient decomposition constitutes a solid and novel basis for perceptual inquiry. We first illustrate each of these terms with synthetic 3D scenes rendered with global illumination. We then show that it is possible to mimic the visual appearance of shading and reflections directly in the image, by distorting patterns in 2D. Finally, we discuss the consistency of our mathematical relations with observations drawn by recent perceptual experiments, including the perception of shape from specular reflections and texture. In particular, we show that the analysis can correctly predict certain specific illusions of both shape and material.
dc.language.isoen
dc.publisherAssociation for Research in Vision and Ophthalmology
dc.title.enDecomposing intensity gradients into information about shape and material
dc.typeArticle de revue
dc.identifier.doi10.1167/13.9.443
dc.subject.halSciences de l'ingénieur [physics]/Traitement du signal et de l'image
dc.subject.halInformatique [cs]/Traitement du signal et de l'image
bordeaux.journalJournal of Vision
bordeaux.pagearticle 443
bordeaux.volume13
bordeaux.hal.laboratoriesLaboratoire Photonique, Numérique et Nanosciences (LP2N) - UMR 5298*
bordeaux.issue9
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-00851908
hal.version1
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-00851908v1
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