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

Simple item page
dc.citation.epage23en_US
dc.citation.issueNumber11en_US
dc.citation.spage1en_US
dc.citation.volumeNumber13en_US
dc.contributor.authorDoerschner, K.en_US
dc.contributor.authorYilmaz, O.en_US
dc.contributor.authorKucukoglu, G.en_US
dc.contributor.authorFleming, R. W.en_US
dc.date.accessioned2016-02-08T09:34:20Z
dc.date.available2016-02-08T09:34:20Z
dc.date.issued2013en_US
dc.departmentDepartment of Psychologyen_US
dc.departmentNational Magnetic Resonance Research Center (UMRAM)en_US
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 threedimensional 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).en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T09:34:20Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2013en
dc.identifier.doi10.1167/13.11.8en_US
dc.identifier.eissn1534-7362
dc.identifier.urihttp://hdl.handle.net/11693/20744
dc.publisherAssociation for Research in Vision and Ophthalmologyen_US
dc.relation.isversionofhttp://dx.doi.org/10.1167/13.11.8en_US
dc.source.titleJournal of Visionen_US
dc.subjectMaterial qualitiesen_US
dc.subjectObject recognitionen_US
dc.subjectOptic flowen_US
dc.subjectRotation axisen_US
dc.subjectStructure from motionen_US
dc.subjectSurface reflectanceen_US
dc.titleEffects of surface reflectance and 3D shape on perceived rotation axisen_US
dc.typeArticleen_US

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Effects of surface reflectance and 3D shape on perceived rotation axis.pdf
Size:
1.5 MB
Format:
Adobe Portable Document Format
Description:
Full printable version
Download

Collections

Scholarly Publications - Psychology
Scholarly Publications - UMRAM