Conference Paper

AR City Representation System Based on Map Recognition Using Topological Information

DOI: 10.1007/978-3-642-02771-0_15 Conference: Virtual and Mixed Reality, Third International Conference, VMR 2009, Held as Part of HCI International 2009, San Diego, CA, USA, July 19-24, 2009. Proceedings
Source: DBLP


This paper presents a system for overlaying D GIS data information such as 3D buildings onto a 2D physical urban map. We
propose a map recognition framework by analysis of distribution of local intersections in order to recognize the area of the
physical map from a whole map. The retrieval of the geographical area described by the physical map is based on a hashing
scheme, which is called LLAH. In the results, we will show some applications augmenting additional information on the map.

Download full-text


Available from: Myriam Servières
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Geovisualization has traditionally played a critical role in analysis and decision-making, but recent developments have also brought a revolution in widespread online access to geographic data and integration tools, particularly for map-based interfaces. This next generation of geovisualization applications is often characterized by high interactivity and strong end-user participation in both development and use. Building the most effective tools to support user-centered geographic visualization faces a significant challenge, though: very little is known about how people interact with maps. To date, map use research has typically focused on higher order use goals or cognitive interpretations of static map representations. Our research employs Human-Computer Interaction approaches in order to investigate user behaviors that contribute to interactive map use and understanding. This paper describes our approach to studying geovisualization interaction and presents our pilot user studies and initial interaction model. By building a better understanding of how people interact with map interfaces, we will be able to design better user-centered geographic visualizations and learn how to best customize these applications to specific user groups.
    Full-text · Conference Paper · Jan 2008
  • [Show abstract] [Hide abstract]
    ABSTRACT: This paper presents a method of improving the accuracy of document image retrieval focusing on the application to a camera-pen system. In a camera-pen system, document image retrieval is employed for locating the pen-tip position on a page. A serious problem is that since the camera is mounted close to the pen-tip, the camera captures only a tiny portion of the page and the resultant image is under severe perspective distortion, resulting in lowering the retrieval accuracy. To solve this problem, we propose new geometrically invariant features as well as expansion techniques which increase the number of index features of either the database or the query images. From the experimental results, it has been found that the query expansion technique with features by combining affine and perspective invariants allows us the best performance that improves the accuracy of a baseline method more than 27%.
    No preview · Conference Paper · Jan 2010
  • [Show abstract] [Hide abstract]
    ABSTRACT: Recent computer vision technology makes innovative progress in 3D visual media industry. In this paper, I would like to introduce our approaches for making use of the computer vision technology in order to achieve innovative application systems of 3DTV and augmented reality. First, I would demonstrate the effectiveness of multiple viewpoint videos and depth videos in 3DTV applications, in which 3D shape reconstructions and view synthesis as computer vision technologies are used. Augmented reality is a method for presenting digital information over the real world with a see-through display. For such application of AR, real-time camera tracking is one of significant technology which is also based on a state-of-art in computer vision.
    No preview · Conference Paper · Aug 2011
Show more