An Automatic Matching Method of Object Contour Curves Based on Periodic Curvature Function

2006 ◽  
Author(s):  
Xing Ce Wang ◽  
Ming Quan Zhou ◽  
Xin Yu Liu
Keyword(s):  
Curvature Function ◽  
Matching Method ◽  
Object Contour ◽  
Automatic Matching

Automatic Matching Method of Control Points for AVHRR Remote Sensing Image

2014 ◽  
Author(s):  
Ying Xia ◽  
◽  
Linjun Zhu ◽  
Xiaobo Luo ◽  
Hae Young Bae ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Remote Sensing Image ◽  
Control Points ◽  
Matching Method ◽  
Automatic Matching

scholarly journals Comparison of Image Matching Method for Automatic Matching of High Resolution SAR Imagery

2014 ◽  
Vol 34 (5) ◽  
pp. 1639-1644
Author(s):  
Sang Ho Baek ◽  
Seung Hwan Hong ◽  
Su Hong Yoo ◽  
Hong Gyoo Sohn
Keyword(s):  
High Resolution ◽  
Image Matching ◽  
Matching Method ◽  
Sar Imagery ◽  
Automatic Matching

Study of Automatic Matching Method about Bullet Head Traces Based on Similarity

2013 ◽  
Vol 12 (16) ◽  
pp. 3810-3814
Author(s):  
Zhou Lihui ◽  
Wang Lu ◽  
Lu Fangling ◽  
Cong Weijian
Keyword(s):  
Matching Method ◽  
Automatic Matching

Fast Automatic Matching Method on Multi-View Point Clouds for Rail Tanker

2011 ◽  
Vol 346 ◽  
pp. 287-293
Author(s):  
Tao Fu ◽  
Wei Jun Liu ◽  
Ji Bin Zhao
Keyword(s):  
Point Cloud ◽  
Point Clouds ◽  
Point Of View ◽  
Spindle Orientation ◽  
Work Piece ◽  
View Point ◽  
Matching Method ◽  
Point Pair ◽  
Novel Method ◽  
Automatic Matching

In this paper, a novel method is proposed for automatically matching the measured data of a rail tanker. The spindle orientation of point cloud is determined by PCA, and then any relative point pair is well matched according to the spatial topology relations as the complexity reduction point of view, finally the data is mapped to a uniform coordinate system with the Quaternion method. The experimental results demonstrated that the proposed method achieves simplicity of implementation with robustness, and especially suitable for positioning the work piece of the rail tanker and the multi-view data fusion.

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