A monocular view pose processing method based on line vector direction and length object-image matching

Xiaoli Hu; Minggang Tang; Zengbo Jiang

doi:10.1117/12.2689311

31 July 2023 A monocular view pose processing method based on line vector direction and length object-image matching

Xiaoli Hu, Minggang Tang, Zengbo Jiang

Proceedings Volume 12747, Third International Conference on Optics and Image Processing (ICOIP 2023); 127470X (2023) https://doi.org/10.1117/12.2689311
Event: Third International Conference on Optics and Image Processing (ICOIP 2023), 2023, Hangzhou, China

Abstract

In order to solve the problem of precise pose measurement by monocular view caused by weather or equipment failure in medium and long-term optical pose measurement in the shooting range, a measurement method of monocular 3 pose angle based on target image matching in linear vector direction for multi linear aircraft targets is proposed in this paper; For missile targets with only single feature of axis vector, the yaw and pitch angles are obtained by optical monocular view pose processing method based on axis vector direction, image length matching; This method not only makes use of the reliability and flexibility of linear feature extraction, but also avoids unnecessary error factors. This method can be applied to the pose processing of axisymmetric and non-axisymmetric rotating targets at the same time, unifies the processing approach for monocular pose processing, and provides a theoretical support for the medium and long-term optical pose measurement in range.

Citation Download Citation

Xiaoli Hu, Minggang Tang, and Zengbo Jiang "A monocular view pose processing method based on line vector direction and length object-image matching", Proc. SPIE 12747, Third International Conference on Optics and Image Processing (ICOIP 2023), 127470X (31 July 2023); https://doi.org/10.1117/12.2689311

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available