Point label placement in 3D geographic scene via elastic beam algorithm

Labels are essential for conveying spatial information in maps, and their effective placement is critical for readability and clarity. In 3D geographical scenes, point labels are commonly displayed with leader lines to enhance visibility, providing flexibility in their positioning. Although the labels are rendered in 3D space, their placement optimization is often carried out in the 2D projected screen space, based on their screen coordinates. However, existing methods primarily rely on heuristic approaches or candidate position models to place the labels, leading to inefficient map space utilization and neglecting the relative relationships between labels. To address this issue, we propose a novel approach that conceptualizes leadered label positioning as a label displacement problem and applies the elastic beam displacement algorithm from cartographic generalization to solve it. In this approach, a triangulated graph is built as the elastic beam structure to delineate the spatial relationships among labels. Labels that violate label quality requirements are treated as applying forces on the beams’ nodes. Then the elastic beam algorithm is iteratively applied to assign forces to each node, determining the new positions of labels. Our experimental results demonstrate that this method effectively avoids label overlays while maintaining minimal directional deviation between adjacent labels.

Authors

Institutions

Publication Details

Journal
International Journal of Digital Earth
Published
2025-09-23
DOI
https://doi.org/10.1080/17538947.2025.2563208
Primary Topic
Robotics and Sensor-Based Localization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Point label placement in 3D geographic scene via elastic beam algorithm

Zhiwei Wei, Nai Yang, Yebin Chen, Wenjia Xu et al.
International Journal of Digital Earth
Robotics and Sensor-Based Localization
article

Point label placement in 3D geographic scene via elastic beam algorithm

Zhiwei Wei, Nai Yang, Yebin Chen, Wenjia Xu, Renzhong Guo, Su Ding
article en

Abstract

Labels are essential for conveying spatial information in maps, and their effective placement is critical for readability and clarity. In 3D geographical scenes, point labels are commonly displayed with leader lines to enhance visibility, providing flexibility in their positioning. Although the labels are rendered in 3D space, their placement optimization is often carried out in the 2D projected screen space, based on their screen coordinates. However, existing methods primarily rely on heuristic approaches or candidate position models to place the labels, leading to inefficient map space utilization and neglecting the relative relationships between labels. To address this issue, we propose a novel approach that conceptualizes leadered label positioning as a label displacement problem and applies the elastic beam displacement algorithm from cartographic generalization to solve it. In this approach, a triangulated graph is built as the elastic beam structure to delineate the spatial relationships among labels. Labels that violate label quality requirements are treated as applying forces on the beams’ nodes. Then the elastic beam algorithm is iteratively applied to assign forces to each node, determining the new positions of labels. Our experimental results demonstrate that this method effectively avoids label overlays while maintaining minimal directional deviation between adjacent labels.

International Journal of Digital EarthVol. 18(2)
Zhejiang A & F University (CN), Beijing University of Posts and Telecommunications (CN), Hunan Normal University (CN), Shenzhen University (CN), China University of Geosciences (CN), Changsha Normal University (CN), Beijing Academy of Artificial Intelligence (CN), Urban Planning & Design Institute of Shenzhen (China) (CN)
Openalex Percentile: Top 66%
Robotics and Sensor-Based Localization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.