Title
Synthesizing a NPR navigating animation based on Route Recommendation
Abstract
As science and technology continue to progress, we are getting used to utilize these new information technologies for the convenience of our daily lives. For example, Google Map and Open Street Map have become very popular and important tools for viewing street maps in recent years. For the purpose of map navigations, the research field of Route Recommendation has proposed several convenient and useful tools. However, most of these results are provided on a 2D planar map. For users, it is un intuitive and difficult to imagine realistic 3D scenes by only watching these linked line segments on a 2D map. Moreover, although many online maps provide photorealistic street views, these images are usually too complicated and containing too much unnecessary information. More important, these pictures are also fixed and invariant regardless of the changes of weathers and seasons. Therefore, in this research, we propose a novel navigation system which visualizes the results of route recommendation with NPR animation effects. Furthermore, by combining NonPhotorealistic Rendering techniques with the OpenWeatherMap, our system aims to create more interesting scenery with the real-time weather effects to improve users' navigation experience.
Year
DOI
Venue
2015
10.1109/TAAI.2015.7407099
2015 Conference on Technologies and Applications of Artificial Intelligence (TAAI)
Keywords
Field
DocType
computer graphics,information visualization,open source,street view,route recommendation,non-photorealistic rendering,navigating animation
Information visualization,Information technology,Computer science,Non-photorealistic rendering,Animation,Computer facial animation,Computer animation,Computer graphics,Multimedia,Scientific visualization
Conference
Citations 
PageRank 
References 
0
0.34
14
Authors
6
Name
Order
Citations
PageRank
Lieu-Hen Chen1539.93
Wei-Fen Hsieh200.68
Jhih-Yu Lin300.34
Cheng-Hao Wang400.34
Yasufumi Takama520749.70
Yu-Sheng Chen632.39