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基于智能手机单目视觉三维重建的小型金属件测量方法 被引量:1

Measurement Method of Small Metal Items Based on Smart Phone’s Monocular Vision 3D Reconstruction
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摘要 金属件广泛应用于各行各业,螺纹是金属件之间最常见的连接形式,外螺纹测量是金属件接头加工完成后质量检测的重要内容。目前,大部分外螺纹参数测量方法对于检测设备及检测环境的要求较高,无法在常规环境下进行螺纹测量。本文描述了一种基于单目视觉的三维重建方法,利用标定件对智能手机进行标定后,在常规环境下随时随地就可测量任何物品,提高了测量的便捷性。本文选择螺丝作为测量对象,用智能手机对螺纹外径、螺距、螺纹长度三个参数进行测量实验,螺纹外径测量精度为0.02 mm,螺距测量精度为0.01 mm,螺纹长度测量精度为0.02 mm。 Metal parts are widely used in many fields,and the thread is their typical connection type.The thread’s parameters measurement including external diameter is the important part of the quality inspection after the metal thread joint is produced.Most current measurement methods for the thread’s parameters require very professional equipment and strict environment.For the thread’s parameters,there are few measurement methods with normal tool and in nature environment.This paper describes a 3D reconstruction method based on monocular vision of smart phones.After being calibrated with the standard calibrator,the smart phone can measure any product anytime anywhere,which improves the convenience of the measurement.In the experiment,the smart phone is used to measure thread parameters including external diameter,thread pitch and thread length.The measurement accuracy of the external diameter is 0.02mm.The measurement accuracy of the pitch is 0.01 mm.The measurement accuracy of the length of the thread is 0.02 mm.
作者 何文韬 熊刚 董西松 Timo R.Nyberg 刘胜 HE Wen-tao;XIONG Gang;DONG Xi-song;Timo R.Nyberg;LIU Sheng(The State Key Laboratory of Management and Control for Complex Systems&The Beijing Engineering Research Center of Intelligent Systems and Technology,Institute of Automation,Chinese Academy of Sciences,Beijing 100190,China;College of Information Science and Technology,Beijing University of Chemical Technology,Beijing 100029,China;The Guangdong Engineering Research Center of 3D Printing and Intelligent Manufacturing,The Cloud Computing Center,Chinese Academy of Sciences,Dongguan 523808,China;Department of Industrial Engineering and Management,School of Sciences,Aalto University,FI-00076 Aalto,Finland)
出处 《软件》 2020年第8期5-9,20,共6页 Software
基金 国家重点研发计划(2018YFB1700602) 湖南省科技重大专项(2018GK1040) 国家自然科学基金(61773382,61773381,U1909204) 中国科学院大学生创新实践训练计划项目“大数据与人工智能驱动的智能增材制造系统”。
关键词 测量 机器视觉 三维重建 单目视觉 螺纹 Measurement Machine vision 3D Reconstruction Monocular vision Thread
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