[1]陈宁,庄章龙,郑添义.挖掘机器人图像匹配算法研究[J].集美大学学报(自然科学版),2015,20(1):60-64.
CHEN Ning,ZHUANG Zhang-long,ZHENG Tian-yi.The Research of Excavator Robot＇s Image Matching Algorithm[J].Journal of Jimei University,2015,20(1):60-64.
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挖掘机器人图像匹配算法研究(PDF)
CHEN Ning,ZHUANG Zhang-long,ZHENG Tian-yi.The Research of Excavator Robot＇s Image Matching Algorithm[J].Journal of Jimei University,2015,20(1):60-64.
《集美大学学报（自然科学版）》[ISSN:1007-7405/CN:35-1186/N]
- 卷:
- 第20卷
- 期数:
- 2015年第1期
- 页码:
- 60-64
- 栏目:
- 船舶与机械工程
- 出版日期:
- 2015-01-25
文章信息/Info
- Title:
- The Research of Excavator Robot＇s Image Matching Algorithm
- Author(s):
- CHEN Ning; ZHUANG Zhang-long; ZHENG Tian-yi
- School of Mechanical Engineering,Jimei University，Xiamen 361021,China
- 分类号:
- -
- DOI:
- -
- 文献标志码:
- A
- 摘要:
- 对当前应用于挖掘机器人视觉系统上的图像匹配算法进行分析，提出了SIFT图像匹配算法.对SIFT特征描述子进行改进，即通过非线性映射函数将原有的SIFT特征描述子映射到更高维的特征空间F上去，然后在空间F上对其数据进行降维处理.实验表明：改进后的SIFT图像匹配算法缩短了图像匹配时间，获得了更高的匹配精度；将该算法应用于挖掘机器人目标识别与定位中，其通用性与鲁棒性更强，能够满足挖掘机器人视觉系统精确性与实时性的要求.
- Abstract:
- The SIFT image matching algorithm was proposed after the current image matching algorithms applied to the excavator robot＇s visual system had been analyzed.In order to improve the SIFT feature descriptors,the original SIFT feature descriptors were mapped up to a high-dimensional feature space F through the nonlinear mapping function,and then reduced its dimension in space F.Experimental results show that the improved SIFT image matching algorithm can shorten the time of image matching and obtain higher matching accuracy.It is more versatile and robust when applied it to the excavator robot＇s target recognition and the accuracy and real-time can meet the demands of the excavator robot＇s vision system.
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更新日期/Last Update:
2015-03-05