Title
A Novel Method for Extrinsic Calibration of Multiple RGB-D Cameras Using Descriptor-Based Patterns.
Abstract
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 Liu183590.79
Hengyu Li21613.45
Xiahua Liu300.34
Jun Luo49825.37
Shaorong Xie511238.53
Yu Sun641869.89