Object matching based on partition information

Author

Marqués, Ferran ; Pardàs, Monlse ; Morros, Ramon

Author_Institution

Dept. de Teoria del Senyal i Comunicacions, Univ. Politecnica de Catalunya, Barcelona, Spain

Volume

2

fYear

2002

fDate

2002

Abstract

This paper presents a new technique for object matching that exploits the information about transitions in the image obtained by means of a segmentation approach. Object matching is performed by comparing a transformed version of an object shape model (reference contour) to the contours in the image partition. The comparison is based on a distance map that measures the Euclidean distance between any point in the image to the partition contours. Examples using parametric and non-parametric reference contours are provided to assess the quality of the proposed technique.

Keywords

edge detection; image matching; image segmentation; object recognition; Euclidean distance; distance map; image partition; image segmentation; image transitions; nonparametric reference contours; object matching; object shape model; parametric reference contours; partition contours; partition information; reference contour; Cost function; Data mining; Euclidean distance; Image processing; Image recognition; Image segmentation; Layout; Noise shaping; Object detection; Shape;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing. 2002. Proceedings. 2002 International Conference on

ISSN

1522-4880

Print_ISBN

0-7803-7622-6

Type

conf

DOI

10.1109/ICIP.2002.1040079

Filename

1040079