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    • Large-scale point cloud place recognition method based on attention mechanism and rotation invariant features

    • ERA Net has made breakthroughs in the field of 3D point cloud location recognition, effectively extracting geometric features of rotation characteristics and demonstrating good robustness and generalization ability.
    • Vol. 30, Issue 7, Pages: 2484-2498(2025)   

      Received:13 November 2024

      Revised:2025-03-03

      Published:16 July 2025

    • DOI: 10.11834/jig.240593     

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  • Hao Wen, Lyu Yan, Jin Haiyan, Shi Zhenghao. 2025. Large-scale point cloud place recognition method based on attention mechanism and rotation invariant features. Journal of Image and Graphics, 30(7):2484-2498 DOI: 10.11834/jig.240593.
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相关作者

Hao Wen 西安理工大学计算机科学与工程学院;陕西省网络计算与安全技术重点实验室
Lv Yan 西安理工大学计算机科学与工程学院
Jin Haiyan 西安理工大学计算机科学与工程学院;陕西省网络计算与安全技术重点实验室
Shi Zhenghao 西安理工大学计算机科学与工程学院;陕西省网络计算与安全技术重点实验室
Li Qiang 西北工业大学
Wang Zhi 北京空间机电研究所
Cui Shuwei 北京空间机电研究所
He Mingyi 西北工业大学

相关机构

Department of Computer Science, Xi'an University of Technology
Northwestern Polytechnical University
Beijing Institute of Space Mechanics & Electricity
School of Computer Science and Engineering, Xi’an University of Technology
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