Name
Abstract | ||
|---|---|---|
This paper presents a novel method to conduct camera pose estimation though combining Kinect and Perspective-n-points algorithms. Most existing camera pose estimation methods suffer from the errors caused by inevitable outliers between 2D-3D correspondences. To this end, we propose to use a random down sampling process to deal with outliers in this paper. The proposed method is divided into two main steps, which are 2D-3D correspondences generation and pose estimation. The method has been tested in a real project, and the experiment has shown encouraging results compared to the ground truth. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/HSI.2015.7170693 | HSI |
Keywords | Field | DocType |
cameras,image sampling,pose estimation,2D-3D correspondence generation,Kinect,PnP algorithm,camera pose estimation,ground truth,perspective-n-point algorithm,random down sampling process,Kinect,PnP,feature matching,pose estimation | Computer vision,Decimation,Computer science,3D pose estimation,Outlier,Filter (signal processing),Pose,Ground truth,Artificial intelligence | Conference |
ISSN | Citations | PageRank |
2158-2246 | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shu Zhang | 1 | 18 | 8.92 |
| Hui Yu | 2 | 15 | 3.75 |
| Junyu Dong | 3 | 393 | 77.68 |
| Ting Wang | 4 | 26 | 3.79 |
| Lin Qi | 5 | 18 | 6.47 |
| Honghai Liu | 6 | 1974 | 178.69 |