Local Feature Descriptor Indexing for Image Matching and Object Detection in Real-Time Applications

2020 ◽  
Vol 30 (1) ◽  
pp. 16-21
Author(s):  
K. Halavataya
Keyword(s):  
Object Detection ◽  
Real Time ◽  
Image Matching ◽  
Local Feature ◽  
Feature Descriptor ◽  
Real Time Applications ◽  
Local Feature Descriptor

scholarly journals Local Feature Descriptor for Image Matching: A Survey

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 6424-6434 ◽  
Author(s):  
Chengcai Leng ◽  
Hai Zhang ◽  
Bo Li ◽  
Guorong Cai ◽  
Zhao Pei ◽  
...  
Keyword(s):  
Image Matching ◽  
Local Feature ◽  
Feature Descriptor ◽  
Local Feature Descriptor

scholarly journals Deep learning-based 3D local feature descriptor from Mercator projections

2019 ◽  
Vol 74 ◽  
pp. 101771 ◽  
Author(s):  
Masoumeh Rezaei ◽  
Mehdi Rezaeian ◽  
Vali Derhami ◽  
Ferdous Sohel ◽  
Mohammed Bennamoun
Keyword(s):  
Deep Learning ◽  
Local Feature ◽  
Feature Descriptor ◽  
Local Feature Descriptor

Improved SIFT Algorithm Based on Mixed Programming

2014 ◽  
Vol 926-930 ◽  
pp. 3058-3062
Author(s):  
Dong Guang Zuo ◽  
Tao Wen ◽  
Zhong Ke Li ◽  
Zhan Liang Li
Keyword(s):  
Real Time ◽  
Image Matching ◽  
Sift Algorithm ◽  
Mixed Programming ◽  
Matching Procedure ◽  
Real Time Applications

In order to improve the generality and real-time of image matching procedure, Visual Studio 2010 and MATLAB R2009a have been used as the platform to research mixed programming and improved SIFT algorithm. In this method, the advantages of C # and Matlab have been combined to reduce the difficulty of programming and to improve programming efficiency. The results show that, improved SIFT algorithm can greatly improve real-time of matching program while guaranteeing good matching rate, its suitable in real-time applications.

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