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
收藏
页码：595 / 599
页数：5
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