Visual Navigation for Mobile Devices

This article presents the integration of an improved camera pose recovery method into a landmark-based visual navigation system for mobile devices.

[1]  Jana Kosecka,et al.  Creating compact architectural models by geo-registering image collections , 2009, 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops.

[2]  Marc Pollefeys,et al.  Interactive 3D architectural modeling from unordered photo collections , 2008, SIGGRAPH 2008.

[3]  Gaetano Borriello,et al.  Landmark-based pedestrian navigation from collections of geotagged photos , 2008, MUM '08.

[4]  Ashweeni Kumar Beeharee,et al.  A natural wayfinding exploiting photos in pedestrian navigation systems , 2006, Mobile HCI.

[5]  Dieter Schmalstieg,et al.  Scalable Techniques for Collaborative Outdoor Augmented Reality , 2004 .

[6]  Henry A. Kautz,et al.  Informing the design of an automated wayfinding system for individuals with cognitive impairments , 2009, 2009 3rd International Conference on Pervasive Computing Technologies for Healthcare.

[7]  Thomas H. Kolbe Augmented Videos and Panoramas for Pedestrian Navigation , 2004 .

[8]  Andrew J. May,et al.  Pedestrian navigation aids: information requirements and design implications , 2003, Personal and Ubiquitous Computing.

[9]  Jianxiong Xiao,et al.  Image-based façade modeling , 2008, ACM Trans. Graph..

[10]  Bernd Girod,et al.  Outdoors augmented reality on mobile phone using loxel-based visual feature organization , 2008, MIR '08.

[11]  Steven M. Seitz,et al.  Photo tourism: exploring photo collections in 3D , 2006, ACM Trans. Graph..

[12]  Jana Kosecka,et al.  Landmark-Based Pedestrian Navigation with Enhanced Spatial Reasoning , 2009, Pervasive.