中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A metric based on saliency line feature extraction and connection for matching area selection

文献类型:会议论文

作者Hua HY(花海洋)1,2,3,4; Shi ZL(史泽林)1,2,3; Liu YP(刘云鹏)1,2,3
出版日期2019
会议日期August 28-30, 2019
会议地点Shenyang, China
关键词Vision navigation suitable matching area saliency line feature monogenic phase congruency convex shape descriptor
页码1-6
英文摘要Selecting a reliability matching area as template is one of the key issues to vision navigation. This paper proposes a metric for matching area selection based on line feature extraction and connection. Firstly, a new line feature is introduced to approximate the reliability information about matching area, which is called saliency line feature. Then, extracting method of these line features is put forward based on monogenic phase congruency model. Secondly, a convex shape descriptor is proposed to represent the spatial distribution characteristic of the line features by connection. Finally, a measure method is defined by merging the quantity and spatial distribution characteristic of the saliency line features, which can guide to select better matching area. The experimental results show that the proposed metric is valid and effective.
源文献作者Chinese Society for Optical Engineering
产权排序1
会议录Second Target Recognition and Artificial Intelligence Summit Forum
会议录出版者SPIE
会议录出版地Bellingham, USA
语种英语
ISSN号0277-786X
ISBN号978-1-5106-3631-6
WOS记录号WOS:000546230500020
源URL[http://ir.sia.cn/handle/173321/26415]  
专题沈阳自动化研究所_光电信息技术研究室
通讯作者Hua HY(花海洋)
作者单位1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
2.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110069, China
3.Key Laboratory of Opto-Electronic Information Processing CAS, Shenyang, China
4.University of Chinese Academy of Sciences, Beijing, China
推荐引用方式
GB/T 7714
Hua HY,Shi ZL,Liu YP. A metric based on saliency line feature extraction and connection for matching area selection[C]. 见:. Shenyang, China. August 28-30, 2019.

入库方式: OAI收割

来源:沈阳自动化研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。