Recognizing 2D objects by a multi-resolution approach

Author

Cantoni, V. ; Lombardi, L. ; Cinque, L. ; Levialdi, S. ; Guerra, C.

Author_Institution

Dipartimento di Inf. e Sistemistica, Pavia Univ., Italy

fYear

1994

fDate

9-13 Oct 1994

Firstpage

310

Abstract

The method proposed in this paper for two-dimensional object recognition relies on the idea of a structural coding of an object at varying levels of resolution. A tree structure describes the evolution of the contour at increasing levels of detail. Each tree node represents a contour segment through a set of attributes to provide a richer description of the image shape. In addition to the attributes, a weight is associated to each descriptor indicating the significance of the corresponding primitives. An approach for 2D object recognition based on a matching of the attributed tree representation of the candidates with that of the model is proposed

Keywords

object recognition; 2D objects; contour segment; image shape; multi-resolution approach; structural coding; tree node; tree structure; two-dimensional object recognition; Biological systems; Computer science; Evolution (biology); Image edge detection; Image resolution; Image segmentation; Object recognition; Shape; Strategic planning; Tree data structures;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 1994. Vol. 3 - Conference C: Signal Processing, Proceedings of the 12th IAPR International Conference on

Conference_Location

Jerusalem

Print_ISBN

0-8186-6275-1

Type

conf

DOI

10.1109/ICPR.1994.577186

Filename

577186