Literature DB >> 15665878

Using visual direction in three-dimensional motion perception.

Julie M Harris1, Vit F Drga.   

Abstract

The eyes receive slightly different views of the world, and the differences between their images (binocular disparity) are used to see depth. Several authors have suggested how the brain could exploit this information for three-dimensional (3D) motion perception, but here we consider a simpler strategy. Visual direction is the angle between the direction of an object and the direction that an observer faces. Here we describe human behavioral experiments in which observers use visual direction, rather than binocular information, to estimate an object's 3D motion even though this causes them to make systematic errors. This suggests that recent models of binocular 3D motion perception may not reflect the strategies that human observers actually use.

Entities:  

Mesh:

Year:  2005        PMID: 15665878     DOI: 10.1038/nn1389

Source DB:  PubMed          Journal:  Nat Neurosci        ISSN: 1097-6256            Impact factor:   24.884


  11 in total

1.  Manual tracking in three dimensions.

Authors:  Leigh A Mrotek; C C A M Gielen; Martha Flanders
Journal:  Exp Brain Res       Date:  2005-11-25       Impact factor: 1.972

2.  Motion and disparity processing informs Bayesian 3D motion estimation.

Authors:  Martin Lages; Suzanne Heron
Journal:  Proc Natl Acad Sci U S A       Date:  2008-12-01       Impact factor: 11.205

3.  Discriminating direction of motion trajectories from angular speed and background information.

Authors:  Zheng Bian; Myron L Braunstein; George J Andersen
Journal:  Atten Percept Psychophys       Date:  2013-10       Impact factor: 2.199

4.  Estimations of the Passing Height of Approaching Objects.

Authors:  Jacob Sander; Nick Fogt
Journal:  Optom Vis Sci       Date:  2022-03-01       Impact factor: 1.973

5.  On the inverse problem of binocular 3D motion perception.

Authors:  Martin Lages; Suzanne Heron
Journal:  PLoS Comput Biol       Date:  2010-11-18       Impact factor: 4.475

6.  Bayesian motion estimation accounts for a surprising bias in 3D vision.

Authors:  Andrew E Welchman; Judith M Lam; Heinrich H Bülthoff
Journal:  Proc Natl Acad Sci U S A       Date:  2008-08-12       Impact factor: 11.205

7.  Effects of changes in size, speed, and distance on the perception of curved 3-D trajectories.

Authors:  Junjun Zhang; Myron L Braunstein; George J Andersen
Journal:  Atten Percept Psychophys       Date:  2013-01       Impact factor: 2.199

8.  Visuomotor transformation for interception: catching while fixating.

Authors:  Joost C Dessing; Leonie Oostwoud Wijdenes; C E Peper; Peter J Beek
Journal:  Exp Brain Res       Date:  2009-06-19       Impact factor: 1.972

9.  Scale Changes Provide an Alternative Cue For the Discrimination of Heading, But Not Object Motion.

Authors:  Finnegan J Calabro; Lucia Maria Vaina
Journal:  Med Sci Monit       Date:  2016-05-27

10.  Detection of 3D curved trajectories: the role of binocular disparity.

Authors:  Russell S Pierce; Zhang Bian; Myron L Braunstein; George J Andersen
Journal:  Front Behav Neurosci       Date:  2013-02-20       Impact factor: 3.558

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.