Knowledge-based augmented reality
Communications of the ACM - Special issue on computer augmented environments: back to the real world
Proceedings of the 2001 conference on Virtual reality, archeology, and cultural heritage
Recent Advances in Augmented Reality
IEEE Computer Graphics and Applications
Marker-less Tracking for AR: A Learning-Based Approach
ISMAR '02 Proceedings of the 1st International Symposium on Mixed and Augmented Reality
Augmented reality: linking real and virtual worlds: a new paradigm for interacting with computers
AVI '98 Proceedings of the working conference on Advanced visual interfaces
Indoor Localization Using Camera Phones
WMCSA '06 Proceedings of the Seventh IEEE Workshop on Mobile Computing Systems & Applications: Supplement
Outdoors augmented reality on mobile phone using loxel-based visual feature organization
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
Going out: robust model-based tracking for outdoor augmented reality
ISMAR '06 Proceedings of the 5th IEEE and ACM International Symposium on Mixed and Augmented Reality
Initialisation for Visual Tracking in Urban Environments
ISMAR '07 Proceedings of the 2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality
Trends in augmented reality tracking, interaction and display: A review of ten years of ISMAR
ISMAR '08 Proceedings of the 7th IEEE/ACM International Symposium on Mixed and Augmented Reality
An Augmented Reality museum guide
ISMAR '08 Proceedings of the 7th IEEE/ACM International Symposium on Mixed and Augmented Reality
Advanced 3D localization by fusing measurements from GPS, inertial and vision sensors
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Real-Time Detection and Tracking for Augmented Reality on Mobile Phones
IEEE Transactions on Visualization and Computer Graphics
Scalable recognition and tracking for mobile augmented reality
Proceedings of the 9th ACM SIGGRAPH Conference on Virtual-Reality Continuum and its Applications in Industry
GPS-aided recognition-based user tracking system with augmented reality in extreme large-scale areas
MMSys '11 Proceedings of the second annual ACM conference on Multimedia systems
Mobile cultural heritage guide: location-aware semantic search
EKAW'10 Proceedings of the 17th international conference on Knowledge engineering and management by the masses
Linked Data
Towards massively multi-user augmented reality on handheld devices
PERVASIVE'05 Proceedings of the Third international conference on Pervasive Computing
Real-time panoramic mapping and tracking on mobile phones
VR '10 Proceedings of the 2010 IEEE Virtual Reality Conference
Markerless tracking using Polar Correlation of camera optical flow
VR '10 Proceedings of the 2010 IEEE Virtual Reality Conference
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Linked Data, Augmented Reality (AR), and technical advancements in mobile information technology lead to an increasing desire to exploit Linked Data for the integration and visualization in mobile AR applications. However, current approaches are either bound to existing client-server-based infrastructures or use closed data sources and proprietary data formats. Moreover, a number of related approaches are built upon content-based recognition algorithms that are both memory and processing-intensive, require a permanent connection to a host, and thus are inappropriate for a direct deployment onto mobile devices. In this work, we present a computational model that builds on a sensor-based tracking approach and maps proactively replicated Linked Data sets to a virtual representation of the user's vicinity computed by a mathematical model. We demonstrate the applicability of our approach through a proof-of-concept AR application that retrieves and aggregates mountain-specific data from a set of different sources and displays such data in a live-view interface. In consequence, our approach is resource-efficient, does not require a permanent network connection, is independent from existing server-based infrastructures, and allows to process Linked Data directly on a mobile device.