Name
Abstract | ||
|---|---|---|
This paper explores the use of data from the Kinect sensor for performing augmented reality, with emphasis on cultural heritage applications. It is shown that the combination of depth and image correspondences from the Kinect can yield a reliable estimate of the location and pose of the camera using a recent solution to the Perspective-n-Point problem, though noise from the sensor introduces an unpleasant jittering of the rendered view. Kalman filtering of the camera position was found to yield a much more stable view. Results show that the system is accurate enough for in situ augmented reality applications for cultural heritage. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/UKSim.2013.10 | UKSim |
Keywords | Field | DocType |
kinect-derived augmentation,cultural heritage,image correspondence,situ augmented reality application,stable view,augmented reality,kinect sensor,cultural heritage application,camera position,perspective-n-point problem,real world,accurate enough,history,kinect,calibration,kalman filtering,solid modeling,pose estimation,cultural differences,feature extraction,kalman filters | Computer vision,Computer graphics (images),Cultural heritage,Computer science,Augmented reality,Kalman filter,Pose,Artificial intelligence | Conference |
ISSN | Citations | PageRank |
2381-4772 | 1 | 0.36 |
References | Authors | |
14 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Erkan Bostanci | 1 | 65 | 9.18 |
| Nadia Kanwal | 2 | 59 | 7.00 |
| Adrian F. Clark | 3 | 221 | 72.99 |