Effects of surface reflectance and 3D shape on perceived rotation axis

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dc.authoridFleming, Roland/0000-0001-5033-5069;
dc.contributor.authorDoerschner, Katja
dc.contributor.authorYilmaz, Ozgur
dc.contributor.authorKucukoglu, Gizem
dc.contributor.authorFleming, Roland W.
dc.date.accessioned2025-10-24T18:09:29Z
dc.date.available2025-10-24T18:09:29Z
dc.date.issued2013
dc.departmentMalatya Turgut Özal Üniversitesi
dc.description.abstractSurface specularity distorts the optic flow generated by a moving object in a way that provides important cues for identifying surface material properties (Doerschner, Fleming et al., 2011). Here we show that specular flow can also affect the perceived rotation axis of objects. In three experiments, we investigate how three-dimensional shape and surface material interact to affect the perceived rotation axis of unfamiliar irregularly shaped and isotropic objects. We analyze observers' patterns of errors in a rotation axis estimation task under four surface material conditions: shiny, matte textured, matte untextured, and silhouette. In addition to the expected large perceptual errors in the silhouette condition, we find that the patterns of errors for the other three material conditions differ from each other and across shape category, yielding the largest differences in error magnitude between shiny and matte, textured isotropic objects. Rotation axis estimation is a crucial implicit computational step to perceive structure from motion; therefore, we test whether a structure from a motion-based model can predict the perceived rotation axis for shiny and matte, textured objects. Our model's predictions closely follow observers' data, even yielding the same reflectance-specific perceptual errors. Unlike previous work (Caudek & Domini, 1998), our model does not rely on the assumption of affine image transformations; however, a limitation of our approach is its reliance on projected correspondence, thus having difficulty in accounting for the perceived rotation axis of smooth shaded objects and silhouettes. In general, our findings are in line with earlier research that demonstrated that shape from motion can be extracted based on several different types of optical deformation (Koenderink & Van Doorn, 1976; Norman & Todd, 1994; Norman, Todd, & Orban, 2004; Pollick, Nishida, Koike, & Kawato, 1994; Todd, 1985).
dc.description.sponsorshipMarie Curie International Reintegration Grant within the 7th European Community Framework Programme [239494]; Bernstein Center for Computational Neuroscience, Tubingen, Germany; German Federal Ministry of Education and Research (BMBF) [FKZ: 01GQ1002]; EU Marie Curie Initial Training Network PRISM [316746]; Scientific and Technological Research Council of Turkey [TUBITAK 1001, 112K069]; Turkish Academy of Sciences
dc.description.sponsorshipThis work was supported by a Marie Curie International Reintegration Grant (239494) within the 7th European Community Framework Programme awarded to K. D. R. F. was funded as part of the research program of the Bernstein Center for Computational Neuroscience, Tubingen, Germany, funded by the German Federal Ministry of Education and Research (BMBF; FKZ: 01GQ1002). Supported by the EU Marie Curie Initial Training Network PRISM (FP7-PEOPLE-2012-ITN, Grant Agreement: 316746) to R. W. F. and K. D. K. D. was also supported by a grant of the Scientific and Technological Research Council of Turkey (TUBITAK 1001 grant 112K069), and by a fellowship by the Turkish Academy of Sciences. We thank the reviewers for their helpful comments.
dc.identifier.doi10.1167/13.11.8
dc.identifier.issn1534-7362
dc.identifier.issue11
dc.identifier.pmid24023275
dc.identifier.scopus2-s2.0-84886241466
dc.identifier.scopusqualityQ2
dc.identifier.urihttps://doi.org/10.1167/13.11.8
dc.identifier.urihttps://hdl.handle.net/20.500.12899/3673
dc.identifier.volume13
dc.identifier.wosWOS:000326618300008
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherAssoc Research Vision Ophthalmology Inc
dc.relation.ispartofJournal Of Vision
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20251023
dc.subjectrotation axis; optic flow; surface reflectance; material qualities; object recognition; structure from motion
dc.titleEffects of surface reflectance and 3D shape on perceived rotation axis
dc.typeArticle

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