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    • Lightweight binocular stereo matching network for edge computing devices

    • Experts proposed the lightweight real-time stereo matching network framework LBSM, abandoned the high computing overhead scheme, and adopted 2D convolution and lightweight channel attention mechanism to reduce computing overhead, improve accuracy, and provide a new scheme for edge computing devices to deploy binocular stereo vision systems.
    • Vol. 31, Issue 2, Pages: 589-608(2026)   

      Received:12 March 2025

      Revised:2025-08-07

      Accepted:01 September 2025

      Published:16 February 2026

    • DOI: 10.11834/jig.250081     

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  • Wu Zhong, Zhu Hong, Lin Guangfeng, He Lili. 2026. Lightweight binocular stereo matching network for edge computing devices. Journal of Image and Graphics, 31(2):0589-0608 DOI: 10.11834/jig.250081.
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相关作者

Wu Zhong 运城学院山西省智能光电传感应用技术创新中心
Zhu Hong 西安理工大学自动化与信息工程学院
Lin Guangfeng 西安理工大学印刷包装与数字媒体学院
He Lili 运城学院山西省智能光电传感应用技术创新中心
Peng Yi 辽宁工程技术大学软件学院
Shao Yufei 辽宁工程技术大学软件学院
Zhang Rui 陆军工程大学指挥控制工程学院
Chen Yao 陆军工程大学指挥控制工程学院

相关机构

School of Software,Liaoning Technical University
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Command and Control Engineering College, Army Engineering University of PLA
National Key Laboratory of Multimodal Artificial Intelligence Systems,Institute of Automation,Chinese Academy of Sciences
School of Computer Science and Engineering, Tianjin University of Technology
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