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Uncertainty in visual processes predicts geometrical optical illusions

Fermuller, C and Malm, Henrik LU (2004) In Vision Research 44(7). p.727-749
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... (More)
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. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
estimation processes, noise, motion perception, bias, optical illusions
in
Vision Research
volume
44
issue
7
pages
727 - 749
publisher
Elsevier
external identifiers
  • pmid:14751556
  • wos:000188890100008
  • scopus:1642452768
ISSN
1878-5646
DOI
10.1016/j.visres.2003.09.038
language
English
LU publication?
yes
id
c3f9efb9-36e8-401c-b53b-c12a3bc6dc41 (old id 287486)
date added to LUP
2007-10-22 14:07:03
date last changed
2017-09-03 03:38:16
@article{c3f9efb9-36e8-401c-b53b-c12a3bc6dc41,
  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.},
  author       = {Fermuller, C and Malm, Henrik},
  issn         = {1878-5646},
  keyword      = {estimation processes,noise,motion perception,bias,optical illusions},
  language     = {eng},
  number       = {7},
  pages        = {727--749},
  publisher    = {Elsevier},
  series       = {Vision Research},
  title        = {Uncertainty in visual processes predicts geometrical optical illusions},
  url          = {http://dx.doi.org/10.1016/j.visres.2003.09.038},
  volume       = {44},
  year         = {2004},
}