2D geon based generic object recognition

Document Type

Conference Proceeding

Publication Date

12-29-2011

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. Copyright 2011 ACM.

Identifier

84455168894 (Scopus)

ISBN

[9781450306164]

Publication Title

Mm 11 Proceedings of the 2011 ACM Multimedia Conference and Co Located Workshops

External Full Text Location

https://doi.org/10.1145/2072298.2072048

First Page

1493

Last Page

1496

This document is currently not available here.

Share

COinS