2D geon based generic object recognition

Xiangqian Yu, Vincent Oria, Pierre Gouton, Geneviève Jomier

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

Abstract

The Recognition by Components(RBC) is a theory in Psychology introduced by Biederman in the late 80s, by which humans perceive scenes through simple 3D objects with regular shapes such as spheres, cubes, cylinders, cones, or wedges, called Geons (geometric ions). Extracting geons from 2D images is a very challenging task as it requires a good segmentation and the recognition of the 3D geons in a 2D space. In this paper, we propose a novel approach for extracting 2D geons from 2D images. The process is composed of three major parts: image preprocessing which includes image background removal and segmentation, arc-geon detection, and polygon-geon detection. We also propose a general procedure for matching the extracted 2D geons to given models for object recognition. Experiment results show that our approach is competitive compared to existing object recognition methodologies in general.

Original languageEnglish (US)
Title of host publicationMM'11 - Proceedings of the 2011 ACM Multimedia Conference and Co-Located Workshops
Pages1493-1496
Number of pages4
DOIs
StatePublished - Dec 29 2011
Event19th ACM International Conference on Multimedia ACM Multimedia 2011, MM'11 - Scottsdale, AZ, United States
Duration: Nov 28 2011Dec 1 2011

Publication series

NameMM'11 - Proceedings of the 2011 ACM Multimedia Conference and Co-Located Workshops

Other

Other19th ACM International Conference on Multimedia ACM Multimedia 2011, MM'11
CountryUnited States
CityScottsdale, AZ
Period11/28/1112/1/11

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Human-Computer Interaction

Keywords

  • Geon extraction
  • Levenshtein distance
  • Object recognition
  • Segmentation

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