Camera Calibration: a USU Implementation
Lili Ma, YangQuan Chen, and Kevin L. Moore

TL;DR
This paper discusses a USU implementation for camera calibration, which estimates intrinsic and extrinsic parameters to enable accurate 3-D scene understanding for applications like robotics and metrology.
Contribution
It presents a specific implementation approach for camera calibration, enhancing the accuracy and applicability of 3-D reconstruction and recognition tasks.
Findings
Improved calibration accuracy for 3-D reconstruction
Enhanced applications in robotics and metrology
Potential for broader use in vision-based systems
Abstract
The task of camera calibration is to estimate the intrinsic and extrinsic parameters of a camera model. Though there are some restricted techniques to infer the 3-D information about the scene from uncalibrated cameras, effective camera calibration procedures will open up the possibility of using a wide range of existing algorithms for 3-D reconstruction and recognition. The applications of camera calibration include vision-based metrology, robust visual platooning and visual docking of mobile robots where the depth information is important.
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Taxonomy
TopicsOptical measurement and interference techniques · Advanced Vision and Imaging · Image Processing Techniques and Applications
