Scene Modelling, Recognition and Tracking with Invariant Image Features

We present a complete system architecture for fully automated markerless augmented reality (AR). The system constructs a sparse metric model of the real-world environment, provides interactive means for specifying the pose of a virtual object, and performs model-based camera tracking with visually p...

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Bibliographic Details
Published inProceedings of the 3rd IEEE/ACM International Symposium on Mixed and Augmented Reality pp. 110 - 119
Main Authors Skrypnyk, Iryna, Lowe, David G.
Format Conference Proceeding
LanguageEnglish
Published Washington, DC, USA IEEE Computer Society 02.11.2004
IEEE
SeriesACM Other Conferences
Subjects
Augmented reality
Calibration
Cameras
Computer architecture
Computer science
Computing methodologies
Computing methodologies > Artificial intelligence
Computing methodologies > Artificial intelligence > Computer vision
Computing methodologies > Artificial intelligence > Computer vision > Computer vision problems
Computing methodologies > Artificial intelligence > Computer vision > Computer vision tasks
Computing methodologies > Artificial intelligence > Computer vision > Computer vision tasks > Scene understanding
Computing methodologies > Artificial intelligence > Computer vision > Image and video acquisition
Computing methodologies > Artificial intelligence > Computer vision > Image and video acquisition > 3D imaging
Computing methodologies > Computer graphics
Computing methodologies > Computer graphics > Animation
Computing methodologies > Computer graphics > Animation > Motion capture
Computing methodologies > Computer graphics > Image manipulation
Geometry
Image recognition
Layout
Power system modeling
Robustness
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Summary:We present a complete system architecture for fully automated markerless augmented reality (AR). The system constructs a sparse metric model of the real-world environment, provides interactive means for specifying the pose of a virtual object, and performs model-based camera tracking with visually pleasing augmentation results. Our approach does not require camera pre-calibration, prior knowledge of scene geometry, manual initialization of the tracker or placement of special markers. Robust tracking in the presence of occlusions and scene changes is achieved by using highly distinctive natural features to establish image correspondences.
ISBN:0769521916
9780769521916
DOI:10.1109/ISMAR.2004.53