Two-dimensional pattern motion analysis uses local features.

Abstract:

:Extensive research suggests that the visual system computes the direction of motion of a two-dimensional pattern from the motion of its oriented spatial frequency components. However, there is some evidence to suggest that the local features in a pattern are also important. In order to demonstrate that the local features contribute to motion perception we have created complex stimuli in which the oriented spatial frequency components have the same direction of motion but the local features move in different directions. The stimuli are multi-component plaid patterns with alternating high and low contrast rows. An analysis based on the oriented spatial frequency components predicts a uniform motion percept for the whole pattern. However, an analysis based on the local features in the pattern predicts that the high-contrast and low-contrast rows would be perceived to move in opposite directions. In a direction discrimination task, observers reported opposite directions of motion for small patches of the pattern that were centred on high and low contrast rows. This supports the hypothesis that the visual system uses local features when computing pattern motion. We show that a simple energy model with localised motion sensors that are broadly tuned for orientation could explain our results.

journal_name

Vision Res

journal_title

Vision research

authors

Delicato LS,Serrano-Pedraza I,Suero M,Derrington AM

doi

10.1016/j.visres.2012.03.023

subject

Has Abstract

pub_date

2012-06-01 00:00:00

pages

84-92

eissn

0042-6989

issn

1878-5646

pii

S0042-6989(12)00096-X

journal_volume

62

pub_type

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