Literature DB >> 18842079

A method for the real-time rendering of formless dot field structure-from-motion stimuli.

Jedediah M Singer1, David L Sheinberg.   

Abstract

The perception of visual motion relies on different computations and different neural substrates than the perception of static form. It is therefore useful to have psychophysical stimuli that carry mostly or entirely motion information, conveying little or nothing about form in any single frame. Structure-from-motion stimuli can sometimes achieve this dissociation, with some examples in studies of biological motion using point-light walkers. It is, however, generally not trivial to provide motion information without also providing static form information. The problem becomes more computationally difficult when the structures and the motions in question are complex. Here we present a technique by which an animated three-dimensional scene can be rendered in real-time as a pattern of dots. Each dot follows the trajectory of the underlying object in the animation, but each static frame of the animation appears to be a uniform random field of dots. The resulting stimuli capture motion vectors across arbitrary complex scenes, while providing virtually no instantaneous information about the structure of that scene. We also present the results of a psychophysical experiment demonstrating the efficacy and the limitations of the technique. The ability to create such stimuli on the fly allows for interactive adjustment and control of the stimuli, real-time parametric variations of structure and motion, and the creation of large libraries of actions without the need to pre-render a prohibitive number of movies. This technique provides a powerful tool for the dissociation of complex motion from static form.

Mesh:

Year:  2008        PMID: 18842079      PMCID: PMC3046877          DOI: 10.1167/8.5.8

Source DB:  PubMed          Journal:  J Vis        ISSN: 1534-7362            Impact factor:   2.240


  14 in total

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2.  The duration of 3-d form analysis in transformational apparent motion.

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4.  The kinetic depth effect.

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5.  Blindness to form from motion despite intact static form perception and motion detection.

Authors:  A Cowey; L M Vaina
Journal:  Neuropsychologia       Date:  2000       Impact factor: 3.139

6.  Critical features for the recognition of biological motion.

Authors:  Antonino Casile; Martin A Giese
Journal:  J Vis       Date:  2005-04-18       Impact factor: 2.240

7.  The interpretation of biological motion.

Authors:  D D Hoffman; B E Flinchbaugh
Journal:  Biol Cybern       Date:  1982       Impact factor: 2.086

8.  Detection of three-dimensional structure in moving optical patterns.

Authors:  J Doner; J S Lappin; G Perfetto
Journal:  J Exp Psychol Hum Percept Perform       Date:  1984-02       Impact factor: 3.332

9.  Perception of biological motion without local image motion.

Authors:  J A Beintema; M Lappe
Journal:  Proc Natl Acad Sci U S A       Date:  2002-04-16       Impact factor: 11.205

10.  Rotating dotted ellipses: motion perception driven by grouped figural rather than local dot motion signals.

Authors:  G P Caplovitz; P U Tse
Journal:  Vision Res       Date:  2007-06-04       Impact factor: 1.886

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  3 in total

1.  Temporal cortex neurons encode articulated actions as slow sequences of integrated poses.

Authors:  Jedediah M Singer; David L Sheinberg
Journal:  J Neurosci       Date:  2010-02-24       Impact factor: 6.167

2.  Normal form from biological motion despite impaired ventral stream function.

Authors:  S Gilaie-Dotan; S Bentin; M Harel; G Rees; A P Saygin
Journal:  Neuropsychologia       Date:  2011-01-13       Impact factor: 3.139

3.  The role of human ventral visual cortex in motion perception.

Authors:  Sharon Gilaie-Dotan; Ayse P Saygin; Lauren J Lorenzi; Ryan Egan; Geraint Rees; Marlene Behrmann
Journal:  Brain       Date:  2013-09       Impact factor: 13.501

  3 in total

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