On-line intelligent visual identification algorithm of power equipment state under the complex environment based on SIFT-Reference-Cited by-同舟云学术

On-line intelligent visual identification algorithm of power equipment state under the complex environment based on SIFT

Published:2022-01-14 Issue: Volume: Page:
ISSN:
Container-title:2022 7th International Conference on Multimedia and Image Processing
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Author:

Liu Yunhou¹,Lyu Qiang¹,Zhang Yanjie²,Yang Chao³,Yang Qifan⁴,Zhou Feng⁴

Affiliation:

1. State Grid of China Technology College, China

2. College of Electrical Engineering, Shandong Electric Power College, China

3. State Grid Shandong Electric Power Company Qingdao Power Supply Company, China

4. College of Electrical Engineering and Automation, Shandong University of Science and Technology, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3517077.3517086

Reference11 articles.

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4. Analysis and Evaluation of Keypoint Descriptors for Image Matching

5. T. Mao , "Development of Power Transmission Line Defects Diagnosis System for UAV Inspection based on Binocular Depth Imaging Technology," 2019 2nd International Conference on Electrical Materials and Power Equipment (ICEMPE) , Guangzhou , China , 2019 , pp. 478 - 481 , doi: 10.1109/ICEMPE.2019.8727361. 10.1109/ICEMPE.2019.8727361 T. Mao , "Development of Power Transmission Line Defects Diagnosis System for UAV Inspection based on Binocular Depth Imaging Technology," 2019 2nd International Conference on Electrical Materials and Power Equipment (ICEMPE), Guangzhou, China, 2019, pp. 478-481, doi: 10.1109/ICEMPE.2019.8727361.