Using symmetry to select fixation points for segmentation

Gert Kootstra*, Niklas Bergström, Danica Kragic

*Corresponding author for this work

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

17 Citations (Scopus)

Abstract

For the interpretation of a visual scene, it is important for a robotic system to pay attention to the objects in the scene and segment them from their background. We focus on the segmentation of previously unseen objects in unknown scenes. The attention model therefore needs to be bottom-up and context-free. In this paper, we propose the use of symmetry, one of the Gestalt principles for figure-ground segregation, to guide the robot's attention. We show that our symmetry-saliency model outperforms the contrast-saliency model, proposed in [4]. The symmetry model performs better in finding the objects of interest and selects a fixation point closer to the center of the object. Moreover, the objects are better segmented from the background when the initial points are selected on the basis of symmetry.

Original languageEnglish
Title of host publicationProceedings - 2010 20th International Conference on Pattern Recognition, ICPR 2010
PublisherIEEE Xplore
Pages3894-3897
Number of pages4
ISBN (Print)9780769541099
DOIs
Publication statusPublished - 18 Nov 2010
Externally publishedYes
Event2010 20th International Conference on Pattern Recognition, ICPR 2010 - Istanbul, Turkey
Duration: 23 Aug 201026 Aug 2010

Publication series

NameProceedings - International Conference on Pattern Recognition
ISSN (Print)1051-4651

Conference

Conference2010 20th International Conference on Pattern Recognition, ICPR 2010
CountryTurkey
CityIstanbul
Period23/08/1026/08/10

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