Using Geometric Interval Algebra Modeling for Improved Three-Dimensional Camera Calibration

This paper addresses the problem of estimating camera calibration parameters by using a novel method based on interval algebra. Unlike existing solutions, which usually apply real algebra, our method is capable of obtaining highly accurate parameters even in scenarios where the input data for camera...

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Veröffentlicht in:	Journal of mathematical imaging and vision 2019-11, Vol.61 (9), p.1342-1369
Hauptverfasser:	Brito, Darlan N., Pádua, Flávio L. C., Lopes, Aldo P. C.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algebra Applications of Mathematics Calibration Cameras Computer Science Computer vision Image Processing and Computer Vision Mathematical Methods in Physics Noise Noise levels Parameter estimation Signal,Image and Speech Processing Standard deviation Three dimensional models
Online-Zugang:	Volltext
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