Title
Robust plane-based calibration for linear cameras
Abstract
A linear, or 1D, camera is a type of camera that sweeps a linear sensor array over the scene, rather than capturing the scene using a single impression on a 2D sensor array. They are often used in satellite imagery, industrial inspection, or hyperspectral imaging. In satellite imaging calibration is often done through a collection of ground points for which the 3D locations are known. In other applications, e.g. hyperspectral imaging, such known points are not available and annotating many different points is onerous. Hence we will use a checkerboard for calibration. The state-of-the-art method for linear camera calibration with a checkerboard becomes unstable when the checkerboards are parallel to the image plane. Our proposed method <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup> yields more accurate camera calibrations without suffering from this shortcoming.
Year
DOI
Venue
2017
10.1109/ICIP.2017.8296238
2017 IEEE International Conference on Image Processing (ICIP)
Keywords
Field
DocType
linear camera,camera calibration,hyperspectral imaging
Computer vision,Satellite,Satellite imagery,Impression,Computer science,Image plane,Sensor array,Hyperspectral imaging,Camera resectioning,Artificial intelligence,Calibration
Conference
ISSN
ISBN
Citations 
1522-4880
978-1-5090-2176-5
0
PageRank 
References 
Authors
0.34
0
7
Name
Order
Citations
PageRank
Simon Donné1194.30
Hiêp Luong283.58
Stijn Dhondt311.72
Nathalie Wuyts411.04
Dirk Inzé5203.08
Bart Goossens622025.94
Wilfried Philips71476124.85