Research on local visual global localization method based on out-of-view reference of spatial point association
Year: 2025
Type: conference-paper
Abstract: The global localisation of spatial points is a critical step in tasks such as object tracking, motion analysis and pose measurement. This paper addresses the critical issue of global localisation when spatial points are scattered and cannot be contained within the same field of view. It proposes a local visual global localisation method based on an out-of-view reference through spatial point association. By constructing a local measurement and localisation model using parallel binocular vision and a spatial coordinate transformation model that associates local regions with the global reference, the global localisation of spatial points inside and outside the field of view is achieved. Experimental results demonstrate that the localisation accuracy of spatial points is less than 0.1 mm in terms of distance measurement. This method is useful for cooperative multi-camera localization and multi-point measurement in large 3D spaces.
Source: MATEC Web of Conferences
Authors: Peipei Gao, Feng Liu, Qingping Yang, Jiale Wang
Institutions: Nankai University, Tianjin University, Brunel University of London
Language: English
Topic: Advanced Vision and Imaging
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4414708258