scholarly journals Virtual Line Descriptor and Semi-Local Graph Matching Method for Reliable Feature Correspondence

2012 ◽  
Author(s):  
Zhe Liu ◽  
Renaud Marlet
Keyword(s):  
Graph Matching ◽  
Matching Method ◽  
Feature Correspondence ◽  
Virtual Line ◽  
Local Graph

scholarly journals Handwritten tifinagh character recognition using simple geometric shapes and graphs

2019 ◽  
Vol 13 (2) ◽  
pp. 598
Author(s):  
Youssef Ouadid ◽  
Abderrahmane Elbalaoui ◽  
Mehdi Boutaounte ◽  
Mohamed Fakir ◽  
Brahim Minaoui
Keyword(s):  
Character Recognition ◽  
Graph Matching ◽  
Recognition Rate ◽  
Recognition System ◽  
Features Extraction ◽  
Experimental Results ◽  
Feature Points ◽  
Matching Method ◽  
Extraction Algorithm ◽  
Novel Algorithm

<p>In this paper, a graph based handwritten Tifinagh character recognition system is presented. In preprocessing Zhang Suen algorithm is enhanced. In features extraction, a novel key point extraction algorithm is presented. Images are then represented by adjacency matrices defining graphs where nodes represent feature points extracted by a novel algorithm. These graphs are classified using a graph matching method. Experimental results are obtained using two databases to test the effectiveness. The system shows good results in terms of recognition rate.</p>

A Structured Learning-Based Graph Matching Method for Tracking Dynamic Multiple Objects

2013 ◽  
Vol 23 (3) ◽  
pp. 534-548 ◽  
Author(s):  
Hongkai Xiong ◽  
Dayu Zheng ◽  
Qingxiang Zhu ◽  
Botao Wang ◽  
Yuan F. Zheng
Keyword(s):  
Graph Matching ◽  
Structured Learning ◽  
Multiple Objects ◽  
Matching Method

DeepSeed Local Graph Matching for Densely Packed Cells Tracking

2020 ◽  
pp. 1-1 ◽  
Author(s):  
Min Liu ◽  
Yalan Liu ◽  
Weili Qian ◽  
Yaonan Wang
Keyword(s):  
Graph Matching ◽  
Local Graph

A Point Matching Method for Stereovision Measurement

2008 ◽  
Vol 381-382 ◽  
pp. 305-308 ◽  
Author(s):  
Nai Guang Lu ◽  
Ming Li Dong ◽  
P. Sun ◽  
J.W. Guo
Keyword(s):  
Vertical Direction ◽  
Stereo Image ◽  
Surface Measurement ◽  
Matching Method ◽  
Feature Correspondence ◽  
Point Matching ◽  
Vertical Coordinate ◽  
3D Surface ◽  
Fourth Step ◽  
Sequential Matching

Many vision tasks such as 3D measurement, scene reconstruction, object recognition, etc., rely on feature correspondence among images. This paper presents a point matching method for 3D surface measurement. The procedure of the method is as follows: (1) rectification for stereo image pairs; (2) computation of epipolar lines; (3) sequential matching in vertical direction; (4) sequential matching in horizontal direction. The fourth step is performed to deal with the ambiguity in dense areas where points have closer vertical coordinates. In the fourth step a threshold limit of vertical coordinate difference is designed to determine those points potential to cause ambiguity. This method was applied to the 3D surface measurement for an inflatable parabolic reflector with validity of point matching up to 100%. Experiment results show that this method is feasible in application of sparse point matching for continuous surface measurements.

A High-Order Depth-Based Graph Matching Method

2015 ◽  
pp. 465-476
Author(s):  
Lu Bai ◽  
Zhihong Zhang ◽  
Peng Ren ◽  
Edwin R. Hancock
Keyword(s):  
Graph Matching ◽  
High Order ◽  
Matching Method

scholarly journals Automated tracking of stem cell lineages of Arabidopsis shoot apex using local graph matching

2009 ◽  
Vol 62 (1) ◽  
pp. 135-147 ◽  
Author(s):  
Min Liu ◽  
Ram Kishor Yadav ◽  
Amit Roy-Chowdhury ◽  
G. Venugopala Reddy
Keyword(s):  
Stem Cell ◽  
Shoot Apex ◽  
Graph Matching ◽  
Automated Tracking ◽  
Cell Lineages ◽  
Local Graph
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