On the design of a fractal calibration pattern for improved camera calibration
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Hendrik Schilling
Hendrik Schilling has received his Diploma in Computer Science in 2015 at the University of Stuttgart. He is currently working on his PhD thesis at the Heidelberg Collaboratory for Image Processing (HCI), in collaboration with Sony Europe Limited. His research includes camera calibration and light eld imaging.
Heidelberg University, Heidelberg Collaboratory for Image Processing (HCI), Berliner Straße 43, 69120 Heidelberg, Germany
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Maximilian Diebold
Maximilian Diebold is Leader of the Light-Field Imaging Group at the Heidel- berg Collaboratory for Image Processing since April 2016. He studied Electrical Engineering and Information Technology at the University of Karlsruhe (Dipl.- Ing.) and received his PhD in computer science at the combined faculty for the natural science and mathematics at the University of Heidelberg (Dr.rer.nat.) in April 2016. The thesis was collaborated with Sony Europe Limited. His current interest is to decompose image information by taking a holistic point of view about depth, material, reectance, color, polarization and illumination from a large set of optical measurements i.e. light-eld measurements and use this information to generate what he terms tunable ground truth.
Heidelberg University, Heidelberg Collaboratory for Image Processing (HCI), Berliner Straße 43, 69120 Heidelberg, Germany
Marcel Gutsche has received his Master degree in Physics from Heidelberg University in 2014. He is currently working on his PhD thesis at the Heidelberg Collaboratory for Image Processing (HCI), in the area of object and BRDF reconstruction from light eld data.
Heidelberg University, Heidelberg Collaboratory for Image Processing (HCI), Berliner Straße 43, 69120 Heidelberg, Germany
Bernd Jähne received his Diploma, Doctoral degree and Habilitation degree in Physics from Heidelberg University in 1977, 1980, and 1985, respectively, and a Habilitation degree in Applied Computer Science from the University of Hamburg-Harburg in 1992. From 1988 to 2003 he hold a research professorship at the Scripps Institution of Oceanography, University of California in San Diego. Since 1994 he is professor at the Interdisciplinary Center for Scientic Computing (IWR) and Institute for Environmental Physics of Heidelberg University in 1994 and since 2008 he heads the Heidelberg Collaboratory for Image Processing (HCI). His research interests include small-scale air-sea interaction and image processing.
Heidelberg University, Heidelberg Collaboratory for Image Processing (HCI), Berliner Straße 43, 69120 Heidelberg, Germany
Abstract
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.
Zusammenfassung
Eine gute Kamerakalibrierung ist für Computer Vision Aufgaben unentbehrlich und setzt oft auf planare Kalibriermuster, um die Kameraparameter zu ermitteln. Diese Arbeit beschreibt die Entwicklung eines planaren, fraktalen selbst-identifizierenden Kalibriermusters, welches eine hohe Dichte von Kalibrierpunkten für einen weiten Bereich von Abbildungsmaßstäben bereitstellt. Eine Evaluierung auf Ground-truth-Daten demonstiert die hohe Genauigkeit, die sich über einen weiten Parameterbereich erzielen lässt.
Funding statement: Sony Europe Limited.
About the authors
Hendrik Schilling has received his Diploma in Computer Science in 2015 at the University of Stuttgart. He is currently working on his PhD thesis at the Heidelberg Collaboratory for Image Processing (HCI), in collaboration with Sony Europe Limited. His research includes camera calibration and light eld imaging.
Heidelberg University, Heidelberg Collaboratory for Image Processing (HCI), Berliner Straße 43, 69120 Heidelberg, Germany
Maximilian Diebold is Leader of the Light-Field Imaging Group at the Heidel- berg Collaboratory for Image Processing since April 2016. He studied Electrical Engineering and Information Technology at the University of Karlsruhe (Dipl.- Ing.) and received his PhD in computer science at the combined faculty for the natural science and mathematics at the University of Heidelberg (Dr.rer.nat.) in April 2016. The thesis was collaborated with Sony Europe Limited. His current interest is to decompose image information by taking a holistic point of view about depth, material, reectance, color, polarization and illumination from a large set of optical measurements i.e. light-eld measurements and use this information to generate what he terms tunable ground truth.
Heidelberg University, Heidelberg Collaboratory for Image Processing (HCI), Berliner Straße 43, 69120 Heidelberg, Germany
Marcel Gutsche has received his Master degree in Physics from Heidelberg University in 2014. He is currently working on his PhD thesis at the Heidelberg Collaboratory for Image Processing (HCI), in the area of object and BRDF reconstruction from light eld data.
Heidelberg University, Heidelberg Collaboratory for Image Processing (HCI), Berliner Straße 43, 69120 Heidelberg, Germany
Bernd Jähne received his Diploma, Doctoral degree and Habilitation degree in Physics from Heidelberg University in 1977, 1980, and 1985, respectively, and a Habilitation degree in Applied Computer Science from the University of Hamburg-Harburg in 1992. From 1988 to 2003 he hold a research professorship at the Scripps Institution of Oceanography, University of California in San Diego. Since 1994 he is professor at the Interdisciplinary Center for Scientic Computing (IWR) and Institute for Environmental Physics of Heidelberg University in 1994 and since 2008 he heads the Heidelberg Collaboratory for Image Processing (HCI). His research interests include small-scale air-sea interaction and image processing.
Heidelberg University, Heidelberg Collaboratory for Image Processing (HCI), Berliner Straße 43, 69120 Heidelberg, Germany
Acknowledgement
The authors gratefully acknowledge financial support for this research by the Heidelberg Collaboratory for Image Processing (HCI) within the Institutional Strategy ZUK49 “Heidelberg: Realizing the Potential of a Comprehensive University”, Measure 6.4 including matching funds from the industry partners of the HCI, especially the Stuttgart Technology Center of Sony Europe Limited.
©2017 Walter de Gruyter Berlin/Boston
Articles in the same Issue
- Frontmatter
- Editorial
- Forum Bildverarbeitung 2016
- Beiträge
- On the design of a fractal calibration pattern for improved camera calibration
- Compressive shape from focus based on a linear measurement model
- 3D reconstruction by a combined structure tensor and Hough transform light field approach
- Das baryzentrische Verhältnis als Invariante der projektiven Geometrie
- Simulation of microscopic metal surfaces based on measured microgeometry
- Automated surface inspection of small customer-specific optical elements
- Individualisierte optische Messtechnik basierend auf additiv gefertigten optischen Komponenten
- Monokulare Kopfposenschätzung basierend auf dem optischen Fluss und der Verfolgung stabiler Merkmale
- Ein intuitives kamerabasiertes System zur Assistenz sehbehinderter Menschen
Articles in the same Issue
- Frontmatter
- Editorial
- Forum Bildverarbeitung 2016
- Beiträge
- On the design of a fractal calibration pattern for improved camera calibration
- Compressive shape from focus based on a linear measurement model
- 3D reconstruction by a combined structure tensor and Hough transform light field approach
- Das baryzentrische Verhältnis als Invariante der projektiven Geometrie
- Simulation of microscopic metal surfaces based on measured microgeometry
- Automated surface inspection of small customer-specific optical elements
- Individualisierte optische Messtechnik basierend auf additiv gefertigten optischen Komponenten
- Monokulare Kopfposenschätzung basierend auf dem optischen Fluss und der Verfolgung stabiler Merkmale
- Ein intuitives kamerabasiertes System zur Assistenz sehbehinderter Menschen
