1.西安电子科技大学 机电工程学院,陕西 西安 710071
2.强度与结构完整性全国重点实验室,陕西 西安 710065
3.西安宝创速维智能科技有限公司,陕西 西安 712000
4.中科国通检测认证(天津)有限公司,天津 300462
[ "史宝全(1982-),男,副教授,硕士生导师,分别于2005年、2009年、2013年于西安交通大学获得学士、硕士及博士学位,主要研究方向为人工智能与3D视觉检测技术。E-mail:bqshi@xidian.edu.cn" ]
收稿:2025-05-23,
修回:2025-07-02,
纸质出版:2025-09-25
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史宝全,侯轩哲,贺谦等.基于交比不变性的十字形标定靶标及其识别方法[J].光学精密工程,2025,33(18):2914-2928.
SHI Baoquan,HOU Xuanzhe,HE Qian,et al.A cross-shaped calibration target based on cross-ratio invariance and its identification method[J].Optics and Precision Engineering,2025,33(18):2914-2928.
史宝全,侯轩哲,贺谦等.基于交比不变性的十字形标定靶标及其识别方法[J].光学精密工程,2025,33(18):2914-2928. DOI: 10.37188/OPE.20253318.2914. CSTR: 32169.14.OPE.20253318.2914.
SHI Baoquan,HOU Xuanzhe,HE Qian,et al.A cross-shaped calibration target based on cross-ratio invariance and its identification method[J].Optics and Precision Engineering,2025,33(18):2914-2928. DOI: 10.37188/OPE.20253318.2914. CSTR: 32169.14.OPE.20253318.2914.
针对大视场测量中传统大尺寸标定靶标制造困难、携带不便及易变形的问题,提出一种基于交比不变性的十字形标定靶标及其识别方法。首先,设计了由两根等长靶尺相互垂直连接而成的十字结构靶标。该靶标的四条臂等长,且各臂上布置满足交比恒定为4/3的靶标点(圆形非编码标志点),主体采用铝合金或碳纤维复合材料,兼顾了轻量化和高强度。其次,利用交比不变性设计了靶标点的编码规则,并开发了十字形靶标识别流程,实现标定图像中靶标点的自动检测与解码。最后,制作了靶标实物并开展了实验测试。实验结果表明所设计的靶标在80°的大倾角范围内仍能准确识别,并且其结构简单、易于制造、携带及拆装,能够满足工业现场复杂环境下大视场相机的快速标定需求。
To address the challenges of manufacturing, portability, and deformation associated with traditional large-scale calibration targets in large field-of-view (FOV) measurements, a cross-shaped calibration target based on cross-ratio invariance and its recognition method was proposed. First, a cross-structured target was designed by vertically connecting two equal-length rulers. The target featured four arms of equal length, with circular uncoded markers arranged along each arm such that the cross-ratio among any four adjacent points remained constant at 4/3. The main structure was made of aluminum alloy or carbon fiber composite material, ensuring both lightweight and high strength. Second, a marker encoding rule was developed based on the principle of cross-ratio invariance, and a recognition algorithm was designed to enable automatic detection and decoding of target points in calibration images. Finally, a physical prototype of the target was fabricated and tested. Experimental results demonstrate that the proposed target can be accurately recognized even at a large tilt angle of up to 80°, and its simple structure makes it easy to manufacture, assemble, disassemble, and carry, making it well-suited for rapid calibration of wide FOV cameras in complex industrial environments.
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