3D Reconstruction of Power Grid Facilities Based on Keyframe Extraction and Image Recognition

A digital reconstruction scheme for power grid facilities based on video keyframe extraction and image recognition is proposed. Shoot a video sequence of the facility to be reconstructed through a mobile homework terminal, extract key frames from the video, and use YOLOv5 network to recognize and extract anchor frames of power facilities to remove environmental background, constructing an image set; Then, based on the principle of motion recovery structure, 3D reconstruction is carried out, and an improved directional fast rotation algorithm is proposed to improve the accuracy of camera pose calculation. Thereby achieving the reconstruction of 3D models of power grid facilities; Finally, taking common transformers in the power grid as an example, it is verified that the proposed method can effectively complete the 3D model reconstruction of power facilities.

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Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2024-09-01
DOI
https://doi.org/10.11930/j.issn.1004-9649.202306018
Primary Topic
Advanced Image and Video Retrieval Techniques
Type
article
Field-Weighted Citation Impact
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article

3D Reconstruction of Power Grid Facilities Based on Keyframe Extraction and Image Recognition

SHILAP Revista de lepidopterología
Advanced Image and Video Retrieval Techniques
article

3D Reconstruction of Power Grid Facilities Based on Keyframe Extraction and Image Recognition

article en

Abstract

A digital reconstruction scheme for power grid facilities based on video keyframe extraction and image recognition is proposed. Shoot a video sequence of the facility to be reconstructed through a mobile homework terminal, extract key frames from the video, and use YOLOv5 network to recognize and extract anchor frames of power facilities to remove environmental background, constructing an image set; Then, based on the principle of motion recovery structure, 3D reconstruction is carried out, and an improved directional fast rotation algorithm is proposed to improve the accuracy of camera pose calculation. Thereby achieving the reconstruction of 3D models of power grid facilities; Finally, taking common transformers in the power grid as an example, it is verified that the proposed method can effectively complete the 3D model reconstruction of power facilities.

SHILAP Revista de lepidopterología
North China Electric Power University (CN), State Grid Corporation of China (China) (CN), Shanghai Electric (China) (CN), Economic Research Institute (BG)
Sustainable cities and communities
Openalex Percentile: Top 66%
Advanced Image and Video Retrieval Techniques
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3D Reconstruction of Power Grid Facilities Based on Keyframe Extraction and Image Recognition · SHILAP Revista de lepidopterología (2024) | TGRS Research Map | TGRS