电源技术2012，Vol.36Issue(11)：1748-1750,3.
SIFT特征提取智能移动机器人环境识别方法
Environment recognition method for autonomous mobile robot based on improved SIFT feature extraction
王丹 1杨柳2
作者信息
- 1. 西安铁路职业技术学院电气工程系,陕西西安710014
- 2. 青岛理工大学琴岛学院,山东青岛266109
- 折叠
摘要
Abstract
In order to improve the real-time and accuracy of environment recognition for robot, SIFT (Scale-invariant feature transform) feature extraction methods was adopted to build the image pyramid and extract image's edge features, and then the recognition between the two images was through their features' Euclidean distance. It is found that the total number of features will no longer be increased over the first 4 group. Therefore, this method saves running time. The simulation experimental results show the two methods are effective.关键词
SIFT特征提取/欧氏距离/仿真Key words
SIFT feature extraction methods/ Euclidean distance/ simulation分类
信息技术与安全科学引用本文复制引用
王丹,杨柳..SIFT特征提取智能移动机器人环境识别方法[J].电源技术,2012,36(11):1748-1750,3.
