Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1109/ISMAR.2004.53 | ISMAR |
Keywords | Field | DocType |
scene change,model-based camera tracking,image correspondence,scene geometry,augmented reality,invariant image features,complete system architecture,automated markerless,distinctive natural feature,camera pre-calibration,robust tracking,scene modelling,system architecture,image features,image recognition | Virtual image,Computer vision,Feature (computer vision),Computer science,Camera tracking,Augmented reality,Optical tracking,Invariant (mathematics),Artificial intelligence,Systems architecture,Initialization | Conference |
ISBN | Citations | PageRank |
0-7695-2191-6 | 129 | 9.00 |
References | Authors | |
19 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Iryna Skrypnyk | 1 | 154 | 15.07 |
| D. G. Lowe | 2 | 15718 | 1413.60 |