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Linear Laser Scanning Measurement Method Tracking by a Binocular Vision.
Wu, Chunyan; Yang, Li; Luo, Zai; Jiang, Wensong.
Afiliação
  • Wu C; College of Metrology & Measurement Engineering, China Jiliang University, Hangzhou 310018, China.
  • Yang L; College of Information Engineering, China Jiliang University, Hangzhou 310018, China.
  • Luo Z; College of Metrology & Measurement Engineering, China Jiliang University, Hangzhou 310018, China.
  • Jiang W; College of Metrology & Measurement Engineering, China Jiliang University, Hangzhou 310018, China.
Sensors (Basel) ; 22(9)2022 May 07.
Article em En | MEDLINE | ID: mdl-35591259
ABSTRACT
The 3D scanning of a freeform structure relies on the laser probe and the localization system. The localization system, determining the effect of the point cloud reconstruction, will generate positioning errors when the laser probe works in complex paths with a fast speed. To reduce the errors, in this paper, a linear laser scanning measurement method is proposed based on binocular vision calibration. A simple and effective eight-point positioning marker attached to the scanner is proposed to complete the positioning and tracking procedure. Based on this, the method of marked point detection based on image moment and the principle of global coordinate system calibration are introduced in detail. According to the invariance principle of space distance, the corresponding points matching method between different coordinate systems is designed. The experimental results show that the binocular vision system can complete localization under different light intensities and complex environments, and that the repeated translation error of the binocular vision system is less than 0.22 mm, while the rotation error is less than 0.15°. The repeated error of the measurement system is less than 0.36 mm, which can meet the requirements of the 3D shape measurement of the complex workpiece.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article