Instructors: Kevin J. Matherson, Microsoft, and Uwe Artmann, Image Engineering GmbH & Co. KG
Level: Intermediate
Prerequisites: No specific imaging background is assumed. It is helpful if participants have a basic knowledge of engineering and physics.
Benefits:
This course enables the attendee to:
- Understand image quality parameters that should be tested or calibrated during the development/production of a camera
- Explain and demonstrate a basic understanding of the required measurement and calibration algorithms.
- Read, interpret, and understand image-quality related specifications for a given supply chain.
- Perform the various calibrations typically done in camera modules (intrinsic calibration, distortion calibration, relative illumination, color shading, spectral calibrations, gain, actuator variability, etc.)
Course Description:
Every camera produced needs some form of image quality check and calibration. This course discusses and explains the different image quality parameters, hardware calibrations, their purpose, and how they are measured; in particular it addresses camera parameters that typically vary enough to require individual calibration or are checked for pass/fail criteria. Also discussed are those that should be class calibrated or can be corrected using the image pipeline. As different manufacturers in the camera component supply chain have different specifications and use different terminology, this course helps students to understand camera sub-components and how they relate to overall camera requirements much better, as well as to obtain a good understanding of whether to test or calibrate a given component.
Intended Audience: Anyone who has a technical background and is new to the imaging industry. Also, program managers, project leads, or engineers working on the camera system benefit from the overview of different aspects of camera measurement and calibration
Kevin Matherson is a director of optical engineering at Microsoft Corporation working on advanced optical technologies for AR/VR, machine vision, and consumer products. Prior to Microsoft, he participated in the design and development of compact cameras at HP and has more than 20 years of experience developing miniature cameras for consumer products. His primary research interests focus on sensor characterization, optical system design and analysis, and the optimization of camera image quality. Matherson holds an MS and PhD in optical sciences from the University of Arizona.
Uwe Artmann studied photo technology at the University of Applied Sciences in Cologne following an apprenticeship as a photographer, and finished with the German ’Diploma Engineer’ degree. He is CTO at Image Engineering, an independent test lab for imaging devices and manufacturers of all kinds of test equipment for these devices. He is an active contributor to different international standards committees including IEEE-P2020, EMVA1288, and VCX Forum.