Positioning and Orientation in Indoor Environments Using Camera Phones

Location technologies provide a way to associate information to a user's location. The authors developed a system that processes a cell-phone camera image and matches detected landmarks from the image to a building. The system calculates camera location and dynamically overlays information directly on the cell phone image.

[1]  David Harwood,et al.  Passive ranging to known planar point sets , 1985, Proceedings. 1985 IEEE International Conference on Robotics and Automation.

[2]  Henry A. Kautz,et al.  Indoor wayfinding:: developing a functional interface for individuals with cognitive impairments , 2006, Assets '06.

[3]  Gaetano Borriello,et al.  Information Overlay for Camera Phones in Indoor Environments , 2007, LoCA.

[4]  G LoweDavid,et al.  Distinctive Image Features from Scale-Invariant Keypoints , 2004 .

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

[6]  Robert C. Bolles,et al.  Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography , 1981, CACM.

[7]  Gaetano Borriello,et al.  Microbiology Tray and Pipette Tracking as a Proactive Tangible User Interface , 2004, Pervasive.

[8]  Paolo Pirjanian,et al.  The vSLAM Algorithm for Robust Localization and Mapping , 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.

[9]  Akio Kosaka,et al.  Purdue Experiments in Model-Based Vision for Hallway Navigation , 1995 .

[10]  P. Nagabhushan,et al.  Boundary based corner detection and localization using new 'cornerity' index: a robust approach , 2004, First Canadian Conference on Computer and Robot Vision, 2004. Proceedings..

[11]  Dorin Comaniciu,et al.  Mean shift analysis and applications , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.

[12]  Lucas Paletta,et al.  A Mobile Vision System for Urban Detection with Informative Local Descriptors , 2006, Fourth IEEE International Conference on Computer Vision Systems (ICVS'06).

[13]  Gregory D. Abowd,et al.  TrackSense: Infrastructure Free Precise Indoor Positioning Using Projected Patterns , 2007, Pervasive.

[14]  Dieter Fox,et al.  Gaussian Processes for Signal Strength-Based Location Estimation , 2006, Robotics: Science and Systems.