J
James T. Todd
Researcher at Ohio State University
Publications - 156
Citations - 8684
James T. Todd is an academic researcher from Ohio State University. The author has contributed to research in topics: Structure from motion & Visual perception. The author has an hindex of 52, co-authored 151 publications receiving 8321 citations. Previous affiliations of James T. Todd include University of Colorado Boulder & University of Connecticut.
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Journal ArticleDOI
Visual information about moving objects.
TL;DR: The results suggest that human observers are highly sensitive to many abstract properties of visual stimulation, but that they are not sensitive to all of the information that is potentially available.
Journal ArticleDOI
Extracting 3D from Motion: Differences in Human and Monkey Intraparietal Cortex
Wim Vanduffel,Wim Vanduffel,Denis Fize,H Peuskens,Katrien Denys,Stefan Sunaert,James T. Todd,Guy Orban +7 more
TL;DR: Intraparietal areas showed significant 3D-SFM activation in humans but not in monkeys, which suggests that human intraparietal cortex contains visuospatial processing areas that are not present in monkeys.
Journal ArticleDOI
The visual perception of 3D shape
TL;DR: These findings suggest that the perceptual representation of 3D shape involves a relatively abstract data structure that is based primarily on qualitative properties that can be reliably determined from visual information.
Journal ArticleDOI
Mapping the parietal cortex of human and non-human primates
Guy Orban,Kristl G. Claeys,Koen Nelissen,Ruth Smans,Stefan Sunaert,James T. Todd,Claire Wardak,Jean-Baptiste Durand,Wim Vanduffel +8 more
TL;DR: MR responses to a range of visual stimuli indicate that the human IPS contains more functional regions along its anterior-posterior extent than are known in the monkey, and these data support the hypothesis that monkey LIP corresponds to the region of human IPS between DIPSM and POIPS and that a portion of the anterior part of humanIPS is evolutionarily new.
Journal ArticleDOI
The effects of viewing angle, camera angle, and sign of surface curvature on the perception of three-dimensional shape from texture.
TL;DR: The results reveal that the apparent patterns of relief from texture are systematically underestimated; convex surfaces appear to have greater depth than concave surfaces, large camera angles produce greater amounts of perceived depth than small camera angles, and the apparent depth-to-width ratio for a given image of a surface is greater for small viewing angles than for large viewing angles.