Fast SIFT Design for Real-Time Visual Feature Extraction

2013 ◽  
Vol 22 (8) ◽  
pp. 3158-3167 ◽  
Author(s):  
Liang-Chi Chiu ◽  
Tian-Sheuan Chang ◽  
Jiun-Yen Chen ◽  
Nelson Yen-Chung Chang
Keyword(s):  
Feature Extraction ◽  
Real Time ◽  
Visual Feature ◽  
Visual Feature Extraction

The decoupling visual feature extraction of dynamic three-dimensional V-type seam for gantry welding robot

2015 ◽  
Vol 80 (9-12) ◽  
pp. 1741-1749 ◽  
Author(s):  
Haiyong Chen ◽  
Weipeng Liu ◽  
Liying Huang ◽  
Guansheng Xing ◽  
Meng Wang ◽  
...  
Keyword(s):  
Feature Extraction ◽  
Three Dimensional ◽  
Visual Feature ◽  
Welding Robot ◽  
Visual Feature Extraction

Comparison of Visual Feature Extraction Methods of Sperms in Semen Microscopic Videos

2020 ◽  
Author(s):  
Xialin Li ◽  
Chen Li ◽  
Wenwei Zhao ◽  
Yuzhuo Gu ◽  
Jindong Li ◽  
...  
Keyword(s):  
Feature Extraction ◽  
Extraction Methods ◽  
Visual Feature ◽  
Visual Feature Extraction

scholarly journals Improving Visual Feature Extraction in Glacial Environments

2020 ◽  
Vol 5 (2) ◽  
pp. 385-390
Author(s):  
Steven D. Morad ◽  
Jeremy Nash ◽  
Shoya Higa ◽  
Russell Smith ◽  
Aaron Parness ◽  
...  
Keyword(s):  
Feature Extraction ◽  
Visual Feature ◽  
Glacial Environments ◽  
Visual Feature Extraction

Research on Mars Surface Image Visual Feature Extraction Algorithm

2013 ◽  
Vol 683 ◽  
pp. 801-804 ◽  
Author(s):  
Ying Hou ◽  
Gui Cai Wang
Keyword(s):  
Feature Extraction ◽  
Visual Features ◽  
Visual Feature ◽  
Illumination Change ◽  
Feature Extraction Algorithm ◽  
Extraction Algorithm ◽  
Surface Image ◽  
Rotation Transformation ◽  
Visual Feature Extraction ◽  
Surface Environment

Visual feature extraction was the basic of mars surface topography reconstruction. The deep research was done to extract mars surface image visual feature in the unstructured mars surface environment. On this basis, the paper gave the mars surface image visual feature extraction algorithm. The experimental results show that the algorithm has good adaptability to illumination change and rotation transformation of mars surface image. Meanwhile, the paper could extract the abundant visual features of mars surface image.

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