Image retrieval through shape matching of partially occluded objects using hierarchical content description

Author

Xu, Yaowu ; Saber, Eli ; Tekalp, A. Murat

Author_Institution

Rochester Univ., NY, USA

Volume

1

fYear

2000

fDate

2000

Firstpage

73

Abstract

This paper proposes a new contour based shape matching approach capable of recognizing partially occluded objects in images. The process can be divided into the following steps: region formation from low level color image segmentation, B-spline filtering and feature point extraction, correspondence determination, least square estimation of affine transformation parameters, and similarity measuring. Once similarity is established, the information is retained using a hierarchical content description scheme, enabling expedient object based image retrieval at a later time

Keywords

content-based retrieval; feature extraction; filtering theory; image colour analysis; image matching; image retrieval; image segmentation; least squares approximations; object recognition; splines (mathematics); B-spline filtering; affine transformation parameters; contour based shape matching; correspondence determination; feature point extraction; hierarchical content description; image retrieval; least square estimation; low level color image segmentation; partially occluded object recognition; region formation; similarity measurement; Color; Data mining; Feature extraction; Filtering; Image recognition; Image retrieval; Image segmentation; Least squares approximation; Shape; Spline;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2000. Proceedings. 2000 International Conference on

Conference_Location

Vancouver, BC

ISSN

1522-4880

Print_ISBN

0-7803-6297-7

Type

conf

DOI

10.1109/ICIP.2000.900895

Filename

900895