Corner detection using the point‐to‐centroid distance technique-Reference-Cited by-同舟云学术

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Corner detection using the point‐to‐centroid distance technique

Published:2020-10-13 Issue:14 Volume:14 Page:3385-3392
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET image process

Author:

Zhang Shizheng¹,Huangfu Luwen²,Zhang Zhifeng¹,Huang Sheng³^ORCID,Li Pu¹,Wang Heng⁴

Affiliation:

1. Software Engineering College, Zhengzhou University of Light IndustryZhengzhou450000People's Republic of China

2. Fowler College of Business, San Diego State University5500 Campanile DriveSan DiegoCA92182USA

3. School of Big Data & Software Engineering, Chongqing UniversityChongqing400044People's Republic of China

4. College of Mechanical and Electrical Engineering, Henan Agricultural UniversityZhengzhou450000People's Republic of China

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ipr.2020.0164

Reference37 articles.

1. Mobile terminal gesture recognition based on improved FAST corner detection

2. 3D gesture based real‐time object selection and recognition;Raheja J.L.;Pattern Recognit. Lett.,2018

3. Visual-Patch-Attention-Aware Saliency Detection

4. Class specific sparse representation for classification;Huang S.;Signal Process.,2015

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4. An Efficient Corner Detector Using Ratio of Center Distance of Symmetric Contour Technique;Journal of Circuits, Systems and Computers;2022-06-24

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