On the design of a fractal calibration pattern for improved camera calibration

Autor:	Maximilian Diebold, Marcel Gutsche, Bernd Jähne, Hendrik Schilling
Rok vydání:	2017
Předmět:	Fractal Computer science Calibration (statistics) business.industry Computer vision Artificial intelligence Electrical and Electronic Engineering business Image geometry Fiducial marker Instrumentation Image measurement Camera resectioning
Zdroj:	tm - Technisches Messen. 84:440-451
ISSN:	2196-7113 0171-8096
DOI:	10.1515/teme-2017-0013
Popis:	Camera calibration, crucial for computer vision tasks, often relies on planar calibration targets to calibrate the camera parameters. This work describes the design of a planar, fractal, self-identifying calibration pattern, which provides a high density of calibration points for a large range of magnification factors. An evaluation on ground truth data shows that the target provides very high accuracy over a wide range of conditions.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::1ce31a45b088b0d1cbc7a090619ef3b1 https://doi.org/10.1515/teme-2017-0013 Zobrazit plný text záznamu