Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
167 tokens/sec
GPT-4o
7 tokens/sec
Gemini 2.5 Pro Pro
42 tokens/sec
o3 Pro
4 tokens/sec
GPT-4.1 Pro
38 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

A fast and practical grid based algorithm for point-feature label placement problem (1712.05936v1)

Published 16 Dec 2017 in cs.CE

Abstract: Point-feature label placement (PFLP) is a major area of interest within the filed of automated cartography, geographic information systems (GIS), and computer graphics. The objective of a label placement problem is to assign a label to each point feature so as to avoid conflicts, considering the cartographic conventions. According to computational complexity analysis, the labeling problem has been shown to be NP-Hard. It is also very challenging to find a computationally efficient algorithm that is intended to be used for both static and dynamic map labeling. In this paper, we propose a heuristic method that first fills the free space of the map with rectangular shape labels like a grid and then matches the corresponding point feature with the nearest label. The performance of the proposed algorithm was evaluated through empirical tests with different data set sizes. The results show that our algorithm based on grid placement of labels is a useful, fast and practical solution for automated map labeling.

Summary

We haven't generated a summary for this paper yet.