Improved KAZE feature matching algorithm with viewpoint change robustness

2016 ◽  
Vol 24 (3) ◽  
pp. 616-625
Author(s):  
耿则勋 GENG Ze-xun ◽  
徐志军 XU Zhi-jun ◽  
卢兰鑫 LU Lan-xin ◽  
沈忱 SHEN Chen ◽  
曾德佳 ZENG De-jia
Keyword(s):  
Feature Matching ◽  
Matching Algorithm ◽  
Viewpoint Change ◽  
Kaze Feature

Medical Image Feature Matching Based on Wavelet Transform and SIFT Algorithm

2011 ◽  
Vol 65 ◽  
pp. 497-502
Author(s):  
Yan Wei Wang ◽  
Hui Li Yu
Keyword(s):  
Wavelet Transform ◽  
Wavelet Transforms ◽  
Medical Image ◽  
Feature Matching ◽  
Image Feature ◽  
Scale Invariant ◽  
Sift Algorithm ◽  
Matching Algorithm ◽  
Invariant Feature ◽  
Scale Invariant Feature

A feature matching algorithm based on wavelet transform and SIFT is proposed in this paper, Firstly, Biorthogonal wavelet transforms algorithm is used for medical image to delaminating, and restoration the processed image. Then the SIFT (Scale Invariant Feature Transform) applied in this paper to abstracting key point. Experimental results show that our algorithm compares favorably in high-compressive ratio, the rapid matching speed and low storage of the image, especially for the tilt and rotation conditions.

Feature Matching Algorithm of Trees in Natrual Scenery

2009 ◽  
Author(s):  
Yan Yuqin ◽  
Diao Xunlin ◽  
He Shujuan ◽  
Cheng Lin ◽  
Ma Lvzhou ◽  
...  
Keyword(s):  
Feature Matching ◽  
Matching Algorithm

A monocular visual measurement system for UAV probe-and-drogue autonomous aerial refueling

2018 ◽  
Vol 11 (2) ◽  
pp. 166-180 ◽  
Author(s):  
Long Xin ◽  
Delin Luo ◽  
Han Li
Keyword(s):  
Measurement System ◽  
Feature Matching ◽  
Perspective Transformation ◽  
High Accuracy ◽  
Noise Elimination ◽  
Aerial Refueling ◽  
Visual Measurement ◽  
Matching Algorithm ◽  
Content Type ◽  
Elimination Algorithm

PurposeThe purpose of this paper is to develop a monocular visual measurement system for autonomous aerial refueling (AAR) for unmanned aerial vehicle, which can process images from an infrared camera to estimate the pose of the drogue in the tanker with high accuracy and real-time performance.Design/methodology/approachMethods and techniques for marker detection, feature matching and pose estimation have been designed and implemented in the visual measurement system.FindingsThe simple blob detection (SBD) method is adopted, which outperforms the Laplacian of Gaussian method. And a novel noise-elimination algorithm is proposed for excluding the noise points. Besides, a novel feature matching algorithm based on perspective transformation is proposed. Comparative experimental results indicated the rapidity and effectiveness of the proposed methods.Practical implicationsThe visual measurement system developed in this paper can be applied to estimate the pose of the drogue with a fast speed and high accuracy and it is a feasible measurement strategy which will considerably increase the autonomy and reliability for AAR.Originality/valueThe SBD method is used to detect the features and a novel noise-elimination algorithm is proposed. Besides, a novel feature matching algorithm based on perspective transformation is proposed which is robust and accurate.

A Tree-Structured Feature Matching Algorithm

2015 ◽  
pp. 190-200 ◽  
Author(s):  
Xiongwei Sun ◽  
Xiubo Ma ◽  
Lei Chen ◽  
Li Wan ◽  
Xinhua Zeng
Keyword(s):  
Feature Matching ◽  
Matching Algorithm
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