Drawing road networks with mental maps

Shih Syun Lin, Chao Hung Lin, Yan Jhang Hu, Tong Yee Lee

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)

Abstract

Tourist and destination maps are thematic maps designed to represent specific themes in maps. The road network topologies in these maps are generally more important than the geometric accuracy of roads. A road network warping method is proposed to facilitate map generation and improve theme representation in maps. The basic idea is deforming a road network to meet a user-specified mental map while an optimization process is performed to propagate distortions originating from road network warping. To generate a map, the proposed method includes algorithms for estimating road significance and for deforming a road network according to various geometric and aesthetic constraints. The proposed method can produce an iconic mark of a theme from a road network and meet a user-specified mental map. Therefore, the resulting map can serve as a tourist or destination map that not only provides visual aids for route planning and navigation tasks, but also visually emphasizes the presentation of a theme in a map for the purpose of advertising. In the experiments, the demonstrations of map generations show that our method enables map generation systems to generate deformed tourist and destination maps efficiently.

Original languageEnglish
Article number6774478
Pages (from-to)1241-1252
Number of pages12
JournalIEEE Transactions on Visualization and Computer Graphics
Volume20
Issue number9
DOIs
Publication statusPublished - 2014 Sep

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Computer Graphics and Computer-Aided Design

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