华中科技大学学报（自然科学版）2011，Vol.39Issue(z2)：200-203,4.
机器人视觉导航的几种特征点方法比较
A comparison of several feature points methods used in mobile robot visual navigation
摘要
Abstract
Due to velocity of mobile robot is usually faster, and it has less computing power, but it requires a large number of computation for image features detection and match. It made an analysis of selecting the appropriate feature detection method to meet the real time robot navigation. Common methods such as KLT, SURF, SIFT and Harris were discussed both in the feature detector and descriptor, different methods were applied to test the image acquired by mobile robot and a comparison of the time required for the different features detector and descriptor was made. Experimental results show that SURF can meet the real time and is suitable for visual navigation.关键词
移动机器人/检测子/描述子/视觉导航/特征点Key words
mobile robot/ detector/ descriptor/ visual navigation/ interest point分类
信息技术与安全科学引用本文复制引用
许宪东,洪炳镕,关毅,王险峰..机器人视觉导航的几种特征点方法比较[J].华中科技大学学报（自然科学版）,2011,39(z2):200-203,4.基金项目
国家自然科学基金资助项目(61075077) （61075077）
黑龙江省教育厅科学技术研究项目(12511446). （12511446）
