Organization of illusory surfaces

Davi Geiger, Krishnan Kumaran

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A common factor in all illusory contour figures is the perception of a surface occluding part of a background. These surfaces are not constrained to be at constant depth and they can cross other surfaces. We address the problem of how the image organizations that yield illusory contours arise. Our approach is to iteratively find the most salient surface by (i) detecting occlusions; (ii) assigning salient-surface-states, a set of hypothesis of the local salient surface configuration; (iii) applying a Bayesian model to diffuse these safient-surface-states; and (iv) efficiently selecting the best image organization (set of hypothesis) based on the resulting diffused surface. We note that the illusory contours arise from the surface boundaries and the amodal completions emerge at the overlapping surfaces. The model reproduces various qualitative and quantitative aspects of illusory contour perception.

Original languageEnglish (US)
Title of host publicationComputer Vision – ECCV 1996 - 4th European Conference on Computer Vision, Proceedings
PublisherSpringer Verlag
Pages413-424
Number of pages12
Volume1064
ISBN (Print)3540611223, 9783540611226
StatePublished - 1996
Event4th European Conference on Computer Vision, ECCV 1996 - Cambridge, United Kingdom
Duration: Apr 15 1996Apr 18 1996

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1064
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other4th European Conference on Computer Vision, ECCV 1996
CountryUnited Kingdom
CityCambridge
Period4/15/964/18/96

Fingerprint

Surface states
Common factor
Bayesian Model
Occlusion
Overlapping
Completion
Figure
Configuration
Perception
Model
Background

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Geiger, D., & Kumaran, K. (1996). Organization of illusory surfaces. In Computer Vision – ECCV 1996 - 4th European Conference on Computer Vision, Proceedings (Vol. 1064, pp. 413-424). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1064). Springer Verlag.

Organization of illusory surfaces. / Geiger, Davi; Kumaran, Krishnan.

Computer Vision – ECCV 1996 - 4th European Conference on Computer Vision, Proceedings. Vol. 1064 Springer Verlag, 1996. p. 413-424 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1064).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Geiger, D & Kumaran, K 1996, Organization of illusory surfaces. in Computer Vision – ECCV 1996 - 4th European Conference on Computer Vision, Proceedings. vol. 1064, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1064, Springer Verlag, pp. 413-424, 4th European Conference on Computer Vision, ECCV 1996, Cambridge, United Kingdom, 4/15/96.
Geiger D, Kumaran K. Organization of illusory surfaces. In Computer Vision – ECCV 1996 - 4th European Conference on Computer Vision, Proceedings. Vol. 1064. Springer Verlag. 1996. p. 413-424. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Geiger, Davi ; Kumaran, Krishnan. / Organization of illusory surfaces. Computer Vision – ECCV 1996 - 4th European Conference on Computer Vision, Proceedings. Vol. 1064 Springer Verlag, 1996. pp. 413-424 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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