Extensions to object recognition in the four-legged league

被引：0
|
作者：
Seysener, CJ [1 ]
Murch, CL [1 ]
Middleton, RH [1 ]
机构：
[1] Univ Newcastle, Sch Elect Engn & Comp Sci, Newcastle, NSW 2308, Australia
来源：
ROBOCUP 2004: ROBOT SOCCER WORLD CUP VIII | 2005年 / 3276卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Humans process images with apparent ease, quickly filtering out useless information and identifying objects based on their shape and colour. However, the undertaking of visual processing and the implementation of object recognition systems on a robot can be a challenging task. While many algorithms exist for machine vision, fewer have been developed with the efficiency required to allow real-time operation on a processor limited platform. This paper focuses on several efficient algorithms designed to identify field landmarks and objects found in the controlled environment of the RoboCup Four-Legged League.
引用
收藏
页码：274 / 285
页数：12
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