Sensors | |
An Incremental Target-Adapted Strategy for Active Geometric Calibration of Projector-Camera Systems | |
Chia-Yen Chen1  | |
[1] Department of Computer Science and Information Engineering, National University of Kaohsiung, 700, Kaohsiung University Rd. Nan Tzu Dist., Kaohsiung 811, Taiwan; | |
关键词: projector-camera calibration; structured light; homography; closed-loop system; | |
DOI : 10.3390/s130202664 | |
来源: mdpi | |
【 摘 要 】
The calibration of a projector-camera system is an essential step toward accurate 3-D measurement and environment-aware data projection applications, such as augmented reality. In this paper we present a two-stage easy-to-deploy strategy for robust calibration of both intrinsic and extrinsic parameters of a projector. Two key components of the system are the automatic generation of projected light patterns and the incremental calibration process. Based on the incremental strategy, the calibration process first establishes a set of initial parameters, and then it upgrades these parameters incrementally using the projection and captured images of dynamically-generated calibration patterns. The scene-driven light patterns allow the system to adapt itself to the pose of the calibration target, such that the difficulty in feature detection is greatly lowered. The strategy forms a closed-loop system that performs self-correction as more and more observations become available. Compared to the conventional method, which requires a time-consuming process for the acquisition of dense pixel correspondences, the proposed method deploys a homography-based coordinate computation, allowing the calibration time to be dramatically reduced. The experimental results indicate that an improvement of 70% in reprojection errors is achievable and 95% of the calibration time can be saved.
【 授权许可】
CC BY
© 2013 by the authors; licensee MDPI, Basel, Switzerland.
【 预 览 】
Files | Size | Format | View |
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RO202003190038281ZK.pdf | 2169KB | download |