Literature DB >> 8734540

Spatial filtering and the Zöllner-Judd geometrical illusion: further studies.

D C Earle1, S J Maskell.   

Abstract

In a geometrical figure in which long vertical lines are each crossed by a series of short oblique lines, an illusory effect is obtained such that the orientations of the long lines are perceived as nonvertical and shifted away from the orientation of the oblique lines (the Zöllner illusion). In addition, the vertical separation between the crossing (oblique) lines is perceived as less than that if the crossing lines are horizontal (the Judd illusion). It has previously been shown that these two effects are closely related, and a single-process account has been proposed in which both effects are explained by a computational model involving band-pass spatial filtering of the figure by means of difference-of-Gaussians (DOG) filters. Two arguments are presented against the latter account. First, in an opposite-contrast-polarity figure with, for example, white vertical lines and black crossing lines on a mid-grey background, the peaks in the DOG filter output are such as to predict the reversal of the Zöllner-Judd effects. It is shown by demonstration that this prediction is disconfirmed, and that the normal effects are obtained. Second, it is shown that the normal Zöllner-Judd effects are obtained in the absence of the long vertical lines, and in the presence of anomalous contours. The latter effects are also in contradiction to the band-pass-filtering model. These findings are discussed in relation to a dual-process account of the Zöllner-Judd effects.

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Year:  1995        PMID: 8734540     DOI: 10.1068/p241397

Source DB:  PubMed          Journal:  Perception        ISSN: 0301-0066            Impact factor:   1.490


  2 in total

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Journal:  Vision Res       Date:  2012-05-15       Impact factor: 1.886

2.  Optimizing the strength of the Bourdon effect by varying the triangle arrangement.

Authors:  Frédéric Devinck; Christophe Quaireau
Journal:  Atten Percept Psychophys       Date:  2021-10-05       Impact factor: 2.199

  2 in total

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