@inbook{6758f8390bd648e883de29539dcae159,
title = "PBVS Control Method for Planar Objects Based on Image Moments",
abstract = "A camera pose analytical calculation method based on image moments of planar objects is proposed, which directly calculates the pose of the initial camera relative to the desired camera. In order to make the above method applicable to any plane, this paper also proposes two plane parameter estimation methods: a plane parameter analytical calculation method based on binocular vision image moments; a plane parameter correction method based on monocular vision image moments. This camera poses and plane parameter estimation method is based on geometric image moments, without the need for image feature extraction, matching and tracking, which greatly increases the robustness of the method. Combining these two methods can achieve position-based Visual servo control. The experimental results show that the visual servo control method can realize the complete decoupling of the interaction matrix and has advantages compared with the current mainstream visual servo control based on image moments.",
keywords = "Image moment, Robots, Visual servo control",
author = "Baoling Han and Xiao Luo and Yuhan Chen",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.",
year = "2025",
doi = "10.1007/978-3-031-71013-1_20",
language = "English",
series = "Lecture Notes on Data Engineering and Communications Technologies",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "211--221",
booktitle = "Lecture Notes on Data Engineering and Communications Technologies",
address = "Germany",
}