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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:03 March 2025

      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
Zhang Jian 武汉数字工程研究所
Zhang Yiran 武汉数字工程研究所
Wang Zicong 武汉数字工程研究所
Shen Tianshu 山东财经大学计算机与人工智能学院;山东省数字经济轻量智算与可视化重点实验室

相关机构

Department of Computer Science, Xi'an University of Technology
Wuhan Digital Engineering Institute
School of Computer and Artificial Intelligence, Shandong University of Finance and Economics, Ji’nan
Shandong Key Laboratory of Lightweight Intelligent Computing and Visualization for Digital Economy, Ji’nan
School of Computer Science and Artificial Intelligence, Wuhan University of Technology
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