4.7 Article

Modeling and Calibration of a Galvanometer-Camera Imaging System

Journal

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIM.2022.3191720

Keywords

Cameras; Imaging; Three-dimensional displays; Mathematical models; Calibration; Solid modeling; Neurons; Data-driven; expanding view of camera; Galvanometer-camera imaging System (GCIS); modeling; system calibration

Funding

  1. Natural Science Foundation of China [52075260]
  2. Fundamental Research Funds for the Central Universities [NP2020305]

Ask authors/readers for more resources

The galvanometer-camera imaging system (GCIS) enlarges the field of view without decreasing imaging resolution by switching viewing directions. However, the lack of an adequate imaging model limits its application in accuracy-dependent 3D vision tasks. This paper proposes a nonphysical parameter imaging model and a calibration method to enhance the applicability of GCIS. Experimental results verify the effectiveness and high performance of the proposed methods.
The galvanometer-camera imaging system (GCIS), which mainly consists of a galvanometer and a camera, can drastically enlarge the field of view without decreasing imaging resolution by quickly switching viewing directions. However, the lack of adequate imaging model has hindered GCIS from being used to 3-D vision tasks with accuracy requirements, such as 3-D reconstruction and 6-D pose estimation. A nonphysical parameter imaging model is proposed, which quantitatively depicts the relation among the input parameters of the galvanometer, the imaging position of a 3-D point on the camera image plane, and the equation of the corresponding incoming ray. An ingenious method is put forward to calibrate the proposed imaging model. The GCIS with calibrated imaging model has much enlarged applicability. As an example, the method for object pose estimation by using the calibrated GCIS is presented and verified. Experimental results demonstrate the effectiveness and high performance of the proposed whole set of methods.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available