| 研究生: |
胡晏彰 Hu, Yan-Jhang |
|---|---|
| 論文名稱: |
基於心理地圖繪製道路網絡 Drawing Road Networks with Mental Maps |
| 指導教授: |
李同益
Lee, Tong-Yee |
| 學位類別: |
碩士 Master |
| 系所名稱: |
電機資訊學院 - 資訊工程學系 Department of Computer Science and Information Engineering |
| 論文出版年: | 2013 |
| 畢業學年度: | 101 |
| 語文別: | 英文 |
| 論文頁數: | 46 |
| 中文關鍵詞: | 社群和資訊科學的視覺化 、集中和維持技術 |
| 外文關鍵詞: | hidden image, shape matching, non-linear warping, photo collage |
| 相關次數: | 點閱:140 下載:3 |
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旅遊地圖和指引地圖都是含有特殊目的的地圖,而這些地圖一般都被設計為了特定的主題,而這些含有特殊目的地圖的道路網路拓撲結構通常會比道路的幾何精度更來的重要,因此這一個道路網路變形方法的目標是更容易產生各種特殊目的地圖和改善地圖中所代表的主題,這個想法基於使用者的心理地圖來變形道路網路,同時使用最佳化程序來執行道路網變形的扭曲變形。
要生成這一個地圖,所提出的方法包括新穎的算法用於估計道路顯著性和各種幾何和美學上的限制道路網絡變形,所提出的方法會在一個道路網絡產生一個標誌性的標記,用來符合用戶指定的心理地圖。
用戶指定的心理地圖將會是生成地圖的使用者資料之一,這將會藉由使用者手繪出來的地圖,藉由我們方法系統所做的介面來輸入,輸入的資料將會產生像量化的結果進而比對。
因此這結果地圖能夠用於旅遊地圖和指引地圖,所以不僅能夠提供直觀路線規
劃和導航任務,也能夠在視覺上強調形式表達主題地圖,在實驗中所展示的旅遊地圖和指引地圖的生成,顯示我們的方法地圖產生系統能夠有效生成各種專用地圖。
Tourist and destination maps are special-purpose maps designed for representing specific themes in maps. Road network topologies in special-purpose maps are generally more important than geometry accuracy of roads. A road network warping method is therefore proposed to facilitate the generalization of various special-purpose maps and improve the representation of a theme in a map. The basic idea is deforming a road network to meet a user-specified mental map while an optimization process is performed to propagate the distortions coming from road network deformation.
To generate a map, the proposed method includes novel algorithms for estimating road significance and for deforming road network according to various geometric and aesthetic constraints. The proposed method has the ability of producing an iconic mark of a theme from a road network and meeting the 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. In the experiments, the demonstrations of tourist and destination map generation show that our method can enable map generalization systems to efficiently generate various special-purpose maps.
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