Feature-based Object Recognition

被引：0

作者：

Howarth, J. W. ^{[1
]}

Bakker, H. H. C. ^{[1
]}

Flemmer, R. C. ^{[1
]}

机构：

[1] Massey Univ, SEAT, Palmerston North, New Zealand

来源：

PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON AUTONOMOUS ROBOTS AND AGENTS | 2009年

关键词：

artificial vision; machine vision; computer vision; image contours; artificial intelligence;

D O I：

暂无

中图分类号：

TP24 [机器人技术];

学科分类号：

080202 ; 1405 ;

摘要：

The use of grey-scale contours, and fingerprints derived from this, has recently been used to analyse images for object recognition. The processing of these data can take a number of different forms. This paper describes a method for using characteristic aspects of the fingerprint, and geometrical relationships between them, to reduce an image to a set of simple geometric features. These features allow for compact storage in a database and very fast scanning to create a short list of candidate matching objects.

引用

页码：595 / 599

页数：5

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