Title | ||
---|---|---|
A Novel Method for Extrinsic Calibration of Multiple RGB-D Cameras Using Descriptor-Based Patterns. |
Abstract | ||
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This paper presents a novel method to estimate the relative poses between RGB-D cameras with minimal overlapping fields of view. This calibration problem is relevant to applications such as indoor 3D mapping and robot navigation that can benefit from a wider field of view using multiple RGB-D cameras. The proposed approach relies on descriptor-based patterns to provide well-matched 2D keypoints in the case of a minimal overlapping field of view between cameras. Integrating the matched 2D keypoints with corresponding depth values, a set of 3D matched keypoints are constructed to calibrate multiple RGB-D cameras. Experiments validated the accuracy and efficiency of the proposed calibration approach. |
Year | DOI | Venue |
---|---|---|
2019 | 10.3390/s19020349 | SENSORS |
Keywords | Field | DocType |
camera calibration,depth sensors,3D vision,omnidirectional vision | Field of view,Computer vision,Omnidirectional vision,3d mapping,Electronic engineering,Camera resectioning,RGB color model,Artificial intelligence,Engineering,Robot,Calibration,3d vision | Journal |
Volume | Issue | ISSN |
19 | 2.0 | 1424-8220 |
Citations | PageRank | References |
0 | 0.34 | 9 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Hang Liu | 1 | 835 | 90.79 |
Hengyu Li | 2 | 16 | 13.45 |
Xiahua Liu | 3 | 0 | 0.34 |
Jun Luo | 4 | 98 | 25.37 |
Shaorong Xie | 5 | 112 | 38.53 |
Yu Sun | 6 | 418 | 69.89 |