Literature DB >> 14751556

Uncertainty in visual processes predicts geometrical optical illusions.

Cornelia Fermüller1, Henrik Malm.   

Abstract

It is proposed in this paper that many geometrical optical illusions, as well as illusory patterns due to motion signals in line drawings, are due to the statistics of visual computations. The interpretation of image patterns is preceded by a step where image features such as lines, intersections of lines, or local image movement must be derived. However, there are many sources of noise or uncertainty in the formation and processing of images, and they cause problems in the estimation of these features; in particular, they cause bias. As a result, the locations of features are perceived erroneously and the appearance of the patterns is altered. The bias occurs with any visual processing of line features; under average conditions it is not large enough to be noticeable, but illusory patterns are such that the bias is highly pronounced. Thus, the broader message of this paper is that there is a general uncertainty principle which governs the workings of vision systems, and optical illusions are an artifact of this principle.

Mesh:

Year:  2004        PMID: 14751556     DOI: 10.1016/j.visres.2003.09.038

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


  6 in total

1.  Representation of illusory and physical rotations in human MST: A cortical site for the pinna illusion.

Authors:  Yanxia Pan; Lijia Wang; Zhiwei Wang; Chan Xu; Wenwen Yu; Lothar Spillmann; Yong Gu; Zheng Wang; Wei Wang
Journal:  Hum Brain Mapp       Date:  2016-03-04       Impact factor: 5.038

2.  Anomalous visual experience is linked to perceptual uncertainty and visual imagery vividness.

Authors:  Johannes H Salge; Stefan Pollmann; Reshanne R Reeder
Journal:  Psychol Res       Date:  2020-05-31

3.  Aesthetic valence of visual illusions.

Authors:  Jasmina Stevanov; Slobodan Marković; Akiyoshi Kitaoka
Journal:  Iperception       Date:  2012-02-29

Review 4.  Geometrical illusions are not always where you think they are: a review of some classical and less classical illusions, and ways to describe them.

Authors:  Jacques Ninio
Journal:  Front Hum Neurosci       Date:  2014-10-28       Impact factor: 3.169

5.  The Müller-Lyer illusion in ant foraging.

Authors:  Tomoko Sakiyama; Yukio-Pegio Gunji
Journal:  PLoS One       Date:  2013-12-11       Impact factor: 3.240

6.  Bioplausible multiscale filtering in retino-cortical processing as a mechanism in perceptual grouping.

Authors:  Nasim Nematzadeh; David M W Powers; Trent W Lewis
Journal:  Brain Inform       Date:  2017-09-08
  6 in total

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