Name
Abstract | ||
|---|---|---|
This paper presents a complete system on a camera phone that integrates a texture less 3D object detector together with in-situ modelling and tracking. The result is a suite intended for AR applications on the move where objects can be captured, tracked and with the automated detection providing a bridge to either initialize tracking or resume it after measurement loss. The object detector training is online and in-situ and benefits from tight integration with the modelling and tracking processes. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/ISMAR.2012.6402570 | Mixed and Augmented Reality |
Keywords | Field | DocType |
tight integration,automated detection,camera phone,object detection,mobile phone,ar application,object detector,in-situ modelling,measurement loss,complete system,object detector training,initialize tracking,tracking,solid modeling,computational modeling,detectors,augmented reality,object tracking,constellation diagram,image texture | Camera phone,Computer vision,Object detection,Viola–Jones object detection framework,Object-class detection,Computer science,Tracking system,Augmented reality,Video tracking,Artificial intelligence,Detector | Conference |
ISSN | ISBN | Citations |
1554-7868 | 978-1-4673-4661-0 | 5 |
PageRank | References | Authors |
0.43 | 2 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pished Bunnun | 1 | 73 | 4.74 |
| Dima Damen | 2 | 225 | 31.54 |
| Andrew Calway | 3 | 645 | 54.66 |
| Walterio Mayol-Cuevas | 4 | 99 | 7.48 |