A neural model for perceptual organization of 3D surfaces

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

Abstract

Perceptual organization is the process by which the visual scene is structured into coherent units suitable for further processing and selection. Having been primarily studied in 2D, here we present a neural model for perceptual organization of 3D surfaces. We demonstrate that our model is able to reproduce several key psychophysical results, including the spread of visual attention across 3D surfaces.

Original languageEnglish (US)
Title of host publication2015 49th Annual Conference on Information Sciences and Systems, CISS 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479984282
DOIs
StatePublished - Apr 15 2015
Event2015 49th Annual Conference on Information Sciences and Systems, CISS 2015 - Baltimore, United States
Duration: Mar 18 2015Mar 20 2015

Publication series

Name2015 49th Annual Conference on Information Sciences and Systems, CISS 2015

Other

Other2015 49th Annual Conference on Information Sciences and Systems, CISS 2015
CountryUnited States
CityBaltimore
Period3/18/153/20/15

ASJC Scopus subject areas

  • Information Systems

Cite this

Hu, B., Von Der Heydt, R., & Niebur, E. (2015). A neural model for perceptual organization of 3D surfaces. In 2015 49th Annual Conference on Information Sciences and Systems, CISS 2015 [7086906] (2015 49th Annual Conference on Information Sciences and Systems, CISS 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CISS.2015.7086906