Optics and Hardware Calibration of Compact Camera Modules for AR/VR, Automotive, and Machine Vision Applications
Instructors: Uwe Artmann, Image Engineering GmbH & Co. KG, and Kevin J. Matherson, Microsoft Corporation
Level: Intermediate
Duration: 4 Hours plus 30-minute break and 30-minute post-class discussion
Course Date/Time:

San Francisco: Wednesday 12 January, 07:00 - 12:00
New York: Wednesday 12 January, 10:00 - 15:00
Paris: Wednesday 12 January, 16:00 - 21:00
Tokyo: Thursday 13 January, 00:00 - 05:00

Benefits
This course enables the attendee to:

• Describe illumination, photons, sensor, and camera radiometry.
• Understand the design of optics used in compact camera modules.
• Understand the difficulties in minimizing sensor and camera modules.
• Assess the need for per unit camera calibrations in compact camera modules.
• Intrinsic camera calibration.
• Optical distortion calibration.
• Determine camera spectral sensitivities.
• Understand depth of field/depth of focus.
• Understand autofocus actuators and why per unit calibrations are required.
• How to perform the various calibrations typically done in compact camera modules (intrinsic calibration, distortion calibration, relative illumination, color shading, spectral calibrations, gain, actuator variability, etc.).
• Understand the equipment required for performing calibrations.
• Compare hardware tradeoffs such as temperature variation, its impact on calibration, and overall influence on final quality.

Course Description
Digital and mobile imaging camera and system performance is determined by a combination of sensor characteristics, lens characteristics, and image processing algorithms. Smaller pixels, smaller optics, smaller modules, and lower cost result in more part-to-part variation driving the need for calibration to maintain good image quality. This course provides an overview of issues associated with compact imaging modules used in mobile and digital imaging. The course covers optics, sensors, actuators, camera modules and the camera calibrations typically performed to mitigate issues associated with production variation of lenses, sensor, and autofocus actuators.

Intended Audience
People involved in the design and image quality of digital cameras, mobile cameras, and scanners. Technical staff of manufacturers, managers of digital imaging projects, as well as journalists and students studying image technology.

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'. He is now the CTO at Image Engineering, an independent test lab for imaging devices and manufacturer of all kinds of test equipment for these devices. His special interest is the influence of noise reduction on image quality and MTF measurement in general.

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 15 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 a Masters and PhD in optical sciences from the University of Arizona.

Discounts given for multiple classes. See Registration Page for details to register.

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