机构

• 长春光学精密机械与物... [1]
• 沈阳自动化研究所 [1]

采集方式

• OAI收割 [2]

内容类型

• 会议论文 [1]
• 期刊论文 [1]

发表日期

• 2020 [1]
• 2011 [1]

学科主题

筛选

浏览/检索结果: 共2条，第1-2条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 SIMSF: A Scale Insensitive Multi-Sensor Fusion Framework for Unmanned Aerial Vehicles Based on Graph Optimization 期刊论文  OAI收割 IEEE ACCESS, 2020, 卷号: 8, 页码: 118273-118284 作者:  Dai B(代波);  He YQ(何玉庆);  Yang LY(杨丽英);  Su Y(苏赟);  Yue, Yufeng   |  收藏  |  浏览/下载：47/0  |  提交时间：2020/08/01 Global Positioning System  Optimization  State estimation  Cameras  Robustness  Sensor fusion  Multi-sensor fusion  graph optimization  fusion framework  scale insensitive  unmanned aerial vehicle  state estimation   Rotation and scaling invariant feature lines for image matching (EI CONFERENCE) 会议论文  OAI收割 2011 International Conference on Mechatronic Science, Electric Engineering and Computer, MEC 2011, August 19, 2011 - August 22, 2011, Jilin, China 作者:  Wang Y.;  Wang Y.;  Wang Y.;  Wang Y.;  Wang Y. 收藏  |  浏览/下载：24/0  |  提交时间：2013/03/25 Image matching has been one of the most fundamental issues computer vision over the decades. In this paper we propose a novel method based on making use of feature lines in order to achieve more robust image matching. The feature lines have the properties of rotation and scaling invariance  coined RIFLT(Rotation invariant feature line transform). Experimental results demonstrate the effectiveness and efficiency of the proposed method. Compare with the famous powerful algorithm Scale Invariant Feature Transform(SIFT)  the proposed method is more insensitive to noise. And for certain sequence of images  which contain clear lines  the proposed method is more efficiency. Using the feature lines obtained by our method  it is possible to matching two scene images with different rotation angles  scale and light distort. 2011 IEEE.