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
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