Literature DB >> 10341971

Computing feature motion without feature detectors: a model for terminator motion without end-stopped cells.

G Löffler1, H S Orbach.   

Abstract

Pointlike object features such as line-endings, have a privileged position in the computation of the veridical direction of object motion. Experiments confirm that the human visual system relies heavily on such features if they are present. It has been proposed that units such as end-stopped cells might be necessary for the computation of feature motion instead of the simple cells used in plaid motion models. Conventional plaid motion models have not been applied to feature motion. We present here a model, based on ordinary simple cells, using two parallel pathways (Fourier and non-Fourier) for the computation of the direction of two dimensional motion. Although similar in structure to popular models of plaid motion, our model includes a novel scheme for contrast normalisation and incorporates spatial pooling at the level of MT cells. The model predictions are consistent with psychophysical results for plaids. Furthermore, it computes directions within 5 degrees of the physical motion of line-endings. It is shown that the non-Fourier signal is necessary for the computation of veridical motion.

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Year:  1999        PMID: 10341971     DOI: 10.1016/s0042-6989(98)00194-1

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


  4 in total

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Authors:  Guillaume S Masson; Eric Castet
Journal:  J Neurosci       Date:  2002-06-15       Impact factor: 6.167

2.  Terminator disparity contributes to stereo matching for eye movements and perception.

Authors:  Christian Quaia; Lance M Optican; Bruce G Cumming
Journal:  J Neurosci       Date:  2013-11-27       Impact factor: 6.167

3.  Speed Estimation for Visual Tracking Emerges Dynamically from Nonlinear Frequency Interactions.

Authors:  Andrew Isaac Meso; Nikos Gekas; Pascal Mamassian; Guillaume S Masson
Journal:  eNeuro       Date:  2022-05-13

4.  Combining feature selection and integration--a neural model for MT motion selectivity.

Authors:  Cornelia Beck; Heiko Neumann
Journal:  PLoS One       Date:  2011-07-21       Impact factor: 3.240

  4 in total

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