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相关论文: Evaluation of Labeling Strategies for Rotating Map…

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Dynamic maps that allow continuous map rotations, e.g., on mobile devices, encounter new issues unseen in static map labeling before. We study the following dynamic map labeling problem: The input is a static, labeled map, i.e., a set P of…

计算几何 · 计算机科学 2011-05-02 Andreas Gemsa , Martin Nöllenburg , Ignaz Rutter

The increased availability of interactive maps on the Internet and on personal mobile devices has created new challenges in computational cartography and, in particular, for label placement in maps. Operations like rotation, zoom, and…

计算几何 · 计算机科学 2016-09-22 Lukas Barth , Benjamin Niedermann , Martin Nöllenburg , Darren Strash

We show that the following variant of labeling rotating maps is NP-hard, and present a polynomial approximation scheme for solving it. The input is a set of feature points on a map, to each of which a vertical bar of zero width is assigned.…

计算几何 · 计算机科学 2019-07-31 Ali Gholami Rudi

Visualizing spatial data on small-screen devices such as smartphones and smartwatches poses new challenges in computational cartography. The current interfaces for map exploration require their users to zoom in and out frequently. Indeed,…

数据结构与算法 · 计算机科学 2020-09-01 Sven Gedicke , Annika Bonerath , Benjamin Niedermann , Jan-Henrik Haunert

In this paper we introduce trajectory-based labeling, a new variant of dynamic map labeling, where a movement trajectory for the map viewport is given. We define a general labeling model and study the active range maximization problem in…

计算几何 · 计算机科学 2013-09-17 Andreas Gemsa , Benjamin Niedermann , Martin Nöllenburg

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…

计算工程、金融与科学 · 计算机科学 2017-12-19 Yasemin Ozkan Aydin , Kemal Leblebicioglu

Label placement in maps is a very challenging task that is critical for the overall map quality. Most previous work focused on designing and implementing fully automatic solutions, but the resulting visual and aesthetic quality has not…

计算几何 · 计算机科学 2019-10-22 Fabian Klute , Guangping Li , Raphael Löffler , Martin Nöllenburg , Manuela Schmidt

Given an unlabeled road map, we consider, from an algorithmic perspective, the cartographic problem to place non-overlapping road labels embedded in their roads. We first decompose the road network into logically coherent road sections,…

计算几何 · 计算机科学 2016-05-16 Benjamin Niedermann , Martin Nöllenburg

Point feature map labeling is a geometric problem, in which a set of input points must be labeled with a set of disjoint rectangles (the bounding boxes of the label texts). Typically, labeling models either use internal labels, which must…

计算几何 · 计算机科学 2015-01-28 Maarten Löffler , Martin Nöllenburg , Frank Staals

This paper describes a fast approach to automatic point label de-confliction on interactive maps. The general Map Labeling problem is NP-hard and has been the subject of much study for decades. Computerized maps have introduced interactive…

数据结构与算法 · 计算机科学 2012-09-27 Kevin Mote

This paper describes a fast approach to automatic point label de-confliction on interactive maps. The general Map Labeling problem is NP-hard and has been the subject of much study for decades. Computerized maps have introduced interactive…

数据结构与算法 · 计算机科学 2012-09-27 Kevin Mote

Map labeling is a classical problem in cartography and geographic information systems (GIS) that asks to place labels for area, line, and point features, with the goal to select and place the maximum number of independent, i.e.,…

计算几何 · 计算机科学 2022-02-18 Sujoy Bhore , Guangping Li , Martin Nöllenburg

Boundary labeling is a well-known method for displaying short textual labels for a set of point features in a figure alongside the boundary of that figure. Labels and their corresponding points are connected via crossing-free leaders. We…

计算几何 · 计算机科学 2024-09-06 Annika Bonerath , Martin Nöllenburg , Soeren Terziadis , Markus Wallinger , Jules Wulms

We propose incorporating human labelers in a model fine-tuning system that provides immediate user feedback. In our framework, human labelers can interactively query model predictions on unlabeled data, choose which data to label, and see…

人机交互 · 计算机科学 2019-11-18 Caleb Robinson , Anthony Ortiz , Kolya Malkin , Blake Elias , Andi Peng , Dan Morris , Bistra Dilkina , Nebojsa Jojic

We consider the NP-hard problem of MAP-inference for undirected discrete graphical models. We propose a polynomial time and practically efficient algorithm for finding a part of its optimal solution. Specifically, our algorithm marks some…

计算机视觉与模式识别 · 计算机科学 2017-02-06 Alexander Shekhovtsov , Paul Swoboda , Bogdan Savchynskyy

Several works in computer vision have demonstrated the effectiveness of active learning for adapting the recognition model when new unlabeled data becomes available. Most of these works consider that labels obtained from the annotator are…

计算机视觉与模式识别 · 计算机科学 2020-10-20 Sudipta Paul , Shivkumar Chandrasekaran , B. S. Manjunath , Amit K. Roy-Chowdhury

The usefulness of technical drawings as well as scientific illustrations such as medical drawings of human anatomy essentially depends on the placement of labels that describe all relevant parts of the figure. In order to not spoil or…

计算几何 · 计算机科学 2017-02-08 Benjamin Niedermann , Martin Nöllenburg , Ignaz Rutter

This paper proposes a novel approach to map-based navigation system for unmanned aircraft. The proposed system attempts label-to-label matching, not image-to-image matching, between aerial images and a map database. The ground objects can…

计算机视觉与模式识别 · 计算机科学 2022-05-31 Youngjoo Kim

The labeling of point features on a map is a well-studied topic. In a static setting, the goal is to find a non-overlapping label placement for (a subset of) point features. In a dynamic setting, the set of point features and their…

计算几何 · 计算机科学 2026-03-02 Thomas Depian , Guangping Li , Martin Nöllenburg , Jules Wulms

Maps provide robots with crucial environmental knowledge, thereby enabling them to perform interactive tasks effectively. Easily accessing accurate abstract-to-detailed geometric and semantic concepts from maps is crucial for robots to make…

机器人学 · 计算机科学 2024-03-26 Tianshuai Hu , Jianhao Jiao , Yucheng Xu , Hongji Liu , Sheng Wang , Ming Liu
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