Paper
14 April 2022 Robust orthogonal iterative monocular pose estimation algorithm based on point features
Ke Liu, Ling Wang, Hanhan Liu, Xiang Zhang
Author Affiliations +
Proceedings Volume 12178, International Conference on Signal Processing and Communication Technology (SPCT 2021); 121781P (2022) https://doi.org/10.1117/12.2631915
Event: International Conference on Signal Processing and Communication Technology (SPCT 2021), 2021, Tianjin, China
Abstract
Monocular pose estimation is a basic element in computer vision, and monocular pose estimation based on point features, as one of the important branches of monocular pose estimation, is widely used in many fields such as robot positioning, virtual reality, and image precision measurement. When solving the monocular pose based on point features, the number of point features and image noise has a great influence on the estimation accuracy. Therefore, this paper proposes a robust orthogonal iterative pose measurement algorithm that introduces an intermediate coordinate system between the camera coordinate system and the world coordinate system to optimize estimation constraints. Then, the method that uses the least square method to solve the error problem is applied to solving the distance between the characteristic point and the camera's optical center. Moreover, the calculation of the initial value of the camera pose is simplified through the intermediate coordinate system. Finally, the camera pose is optimized by orthogonal iteration. Experiments show that, compared with existing algorithms, the algorithm proposed in this paper is more robust to the number of point features and image noise, and the overall solution accuracy is better.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ke Liu, Ling Wang, Hanhan Liu, and Xiang Zhang "Robust orthogonal iterative monocular pose estimation algorithm based on point features", Proc. SPIE 12178, International Conference on Signal Processing and Communication Technology (SPCT 2021), 121781P (14 April 2022); https://doi.org/10.1117/12.2631915
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KEYWORDS
Cameras

Imaging systems

Error analysis

Curium

Chromium

Iterative methods

Aerospace engineering

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