Electronics and Electrical Engineering and Control

Stable pose estimation and calibration method for projection augmented reality tracking locator

  • Xifu ZHAO ,
  • Haihua CUI ,
  • Yihua ZHANG ,
  • Renchuan YANG ,
  • Jiarui ZHOU ,
  • Kai PENG ,
  • Minjie LIAO
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  • 1.College of Mechanical and Electrical Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China
    2.China Aero Engine Corporation Hunan Power Machinery Research Institute,Zhuzhou 412002,China
    3.China Aero Engine South Industries Co. ,Ltd. ,Zhuzhou 412000,China
E-mail: cuihh@nuaa.edu.cn

Received date: 2024-08-19

  Revised date: 2024-10-16

  Accepted date: 2024-11-25

  Online published: 2024-12-05

Supported by

Special Funds for Basic Scientific Research Operating Expenses of Central Universities(56XCA2403107);China Aviation Industry Corporation Industry-University-Research Cooperation Project(HFZL2022CXY006);Nanjing University of Aeronautics and Astronautics Graduate Research and Practice Innovation Program(xcxjh20230512)

Abstract

To overcome the projection limitations of traditional in-situ Projection Augmented Reality (PAR) systems in occlusion and restricted spaces, a tracking-based PAR assembly assistance system is designed and implemented. Firstly, in view of the transfer target positioning problem existing in system construction, a transfer target positioning algorithm based on voting is proposed by borrowing the idea of “model globally, match locally” from Point Pair Features (PPF). In addition, in view of the pose calibration problem between the transfer target and the projector, a transfer pose calibration algorithm based on multi-station coupling is proposed. The pose model is simplified by using Kronecker product and solved by constructing Lagrangian equations. Finally, the effectiveness of the proposed algorithm is verified by conducting transfer target positioning stability tests and transfer pose calibration tests. The flexibility of the system is verified by conducting projection positioning tests in the aircraft nose cabin scene. It is shown that the system framework can effectively expand the application scope of the PAR system.

Cite this article

Xifu ZHAO , Haihua CUI , Yihua ZHANG , Renchuan YANG , Jiarui ZHOU , Kai PENG , Minjie LIAO . Stable pose estimation and calibration method for projection augmented reality tracking locator[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2025 , 46(8) : 331072 -331072 . DOI: 10.7527/S1000-6893.2024.31072

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