CyberCode: designing augmented reality environments with visual tags
DARE '00 Proceedings of DARE 2000 on Designing augmented reality environments
Mean Shift Analysis and Applications
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Boundary Based Corner Detecion and Localization Using New 'Cornerity' Index: A Robust Approach
CRV '04 Proceedings of the 1st Canadian Conference on Computer and Robot Vision
A Mobile Vision System for Urban Detection with Informative Local Descriptors
ICVS '06 Proceedings of the Fourth IEEE International Conference on Computer Vision Systems
Photo tourism: exploring photo collections in 3D
ACM SIGGRAPH 2006 Papers
Indoor wayfinding:: developing a functional interface for individuals with cognitive impairments
Proceedings of the 8th international ACM SIGACCESS conference on Computers and accessibility
TrackSense: infrastructure free precise indoor positioning using projected patterns
PERVASIVE'07 Proceedings of the 5th international conference on Pervasive computing
Landmark-Based Pedestrian Navigation with Enhanced Spatial Reasoning
Pervasive '09 Proceedings of the 7th International Conference on Pervasive Computing
A Framework for Creating and Using Maps of Privately Owned Spaces
LoCA '09 Proceedings of the 4th International Symposium on Location and Context Awareness
Pose tracking from natural features on mobile phones
ISMAR '08 Proceedings of the 7th IEEE/ACM International Symposium on Mixed and Augmented Reality
Panoramic image-based navigation for smart-phone in indoor environment
Proceedings of the 2011 international conference on Virtual and mixed reality: systems and applications - Volume Part II
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Increasingly, cell phones are used to browse for information while location systems assist in gathering information that is most appropriate to the user's current location. We seek to take this one step further and actually overlay information on to the physical world using the cell phone's camera and thereby minimize a user's cognitive effort. This "magic lens" approach has many applications of which we are exploring two: indoor building navigation and dynamic directory assistance. In essence, we match "landmarks" identified in the camera image with those stored in a building database. We use two different types of features - floor corners that can be matched against a floorplan and SIFT features that can be matched to a database constructed from other images. The camera's pose can be determined exactly from a match and information can be properly aligned so that it can overlay directly onto the phone's image display. In this paper, we present early results that demonstrate it is possible to realize this capability for a variety of indoor environments. Latency is shown to already be reasonable and likely to be improved by further optimizations. Our goal is to further explore the computational tradeoff between the server and phone client so as to achieve an acceptable latency of a few seconds.