Pseudodistance Measures for Recognition of Curved Objects

Author

Sato, Yukio ; Honda, Ikuji

Author_Institution

MEMBER, IEEE, Department of Electronic Engineering, Faculty of Technology, Tokyo University of Agriculture and Technology, Koganei, Tokyo 184, Japan; Department of Electrical Engineering, Nagoya Institute of Technology, Gokiso, Showa, Nagoya 466, Japan.

Issue

4

fYear

1983

fDate

7/1/1983 12:00:00 AM

Firstpage

362

Lastpage

373

Abstract

A method for the description and identification of curved objects is described in this paper. The shape of a curved object is considered as a surface which is an accumulation of horizontal section boundaries. This is described by the coefficients of a Fourier series expansion of the proposed representative function. Each complicated feature of the shape of the object is decomposed into five simple features: elongatedness, horizontal strain, section shape, torsion, and displacement. Differences of objects as patterns are defined as pseudodistances of corresponding features. Some essential properties such as completeness of the pseudodistance family are explained theoretically. Finally, experimental results of identification of wooden block models and a doll are displayed.

Keywords

Capacitive sensors; Engine cylinders; Feature extraction; Fourier series; Image recognition; Object recognition; Pattern analysis; Pattern recognition; Shape measurement; Space technology; Computer vision; Fourier descriptor; curved object; difference measure; object recognition; pseudodistance; shape description; shape discrimination; three-dimensional image;

fLanguage

English

Journal_Title

Pattern Analysis and Machine Intelligence, IEEE Transactions on

Publisher

ieee

ISSN

0162-8828

Type

jour

DOI

10.1109/TPAMI.1983.4767406

Filename

4767406