Literature DB >> 16289208

Visual discrimination of local surface structure: slant, tilt, and curvedness.

J Farley Norman1, James T Todd, Hideko F Norman, Anna Marie Clayton, T Ryan McBride.   

Abstract

In four experiments, observers were required to discriminate interval or ordinal differences in slant, tilt, or curvedness between designated probe points on randomly shaped curved surfaces defined by shading, texture, and binocular disparity. The results reveal that discrimination thresholds for judgments of slant or tilt typically range between 4 degrees and 10 degrees; that judgments of one component are unaffected by simultaneous variations in the other; and that the individual thresholds for either the slant or tilt components of orientation are approximately equal to those obtained for judgments of the total orientation difference between two probed regions. Performance was much worse, however, for judgments of curvedness, and these judgments were significantly impaired when there were simultaneous variations in the shape index parameter of curvature.

Mesh:

Year:  2005        PMID: 16289208     DOI: 10.1016/j.visres.2005.09.034

Source DB:  PubMed          Journal:  Vision Res        ISSN: 0042-6989            Impact factor:   1.886


  10 in total

1.  Large perspective changes yield perception of metric shape that allows accurate feedforward reaches-to-grasp and it persists after the optic flow has stopped!

Authors:  Young-Lim Lee; Geoffrey P Bingham
Journal:  Exp Brain Res       Date:  2010-06-19       Impact factor: 1.972

2.  Integration of texture and disparity cues to surface slant in dorsal visual cortex.

Authors:  Aidan P Murphy; Hiroshi Ban; Andrew E Welchman
Journal:  J Neurophysiol       Date:  2013-04-10       Impact factor: 2.714

3.  Does this computational theory solve the right problem? Marr, Gibson, and the goal of vision.

Authors:  William H Warren
Journal:  Perception       Date:  2012       Impact factor: 1.490

4.  Perspective texture synthesis based on improved energy optimization.

Authors:  Syed Muhammad Arsalan Bashir; Farhan Ali Khan Ghouri
Journal:  PLoS One       Date:  2014-10-14       Impact factor: 3.240

5.  Binocular Depth Judgments on Smoothly Curved Surfaces.

Authors:  Rebecca L Hornsey; Paul B Hibbard; Peter Scarfe
Journal:  PLoS One       Date:  2016-11-08       Impact factor: 3.240

6.  Surface diagnosticity predicts the high-level representation of regular and irregular object shape in human vision.

Authors:  Irene Reppa; E Charles Leek
Journal:  Atten Percept Psychophys       Date:  2019-07       Impact factor: 2.199

7.  The Recognition of Solid Object Shape: The Importance of Inhomogeneity.

Authors:  J Farley Norman; Sydney P Wheeler; Lauren E Pedersen; Lindsey M Shain; Jonathan D Kinnard; Joel Lenoir
Journal:  Iperception       Date:  2019-08-13

8.  Natural scene statistics predict how humans pool information across space in surface tilt estimation.

Authors:  Seha Kim; Johannes Burge
Journal:  PLoS Comput Biol       Date:  2020-06-24       Impact factor: 4.475

Review 9.  What is binocular disparity?

Authors:  Joseph S Lappin
Journal:  Front Psychol       Date:  2014-08-12

10.  The lawful imprecision of human surface tilt estimation in natural scenes.

Authors:  Seha Kim; Johannes Burge
Journal:  Elife       Date:  2018-01-31       Impact factor: 8.140

  10 in total

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