Instructor: Eric Walowit, consultant, and Dietmar Wueller, Image Engineering GmbH & Co. KG
Level: Intermediate

Benefits:
This course enables the attendee to:

• Understand the need for camera colorimetric characterization and the impact of color calibration on image quality and manufacturing yield.
• Perform target-based and spectral-based camera characterization.
• Solve for colorimetric camera transforms and build profiles using linear and nonlinear techniques.
• Evaluate current colorimetric camera characterization hardware and software technology and products.
• Participate in hands-on spectral camera characterization, camera transform generation, and matching from capture to display.

Course Description:
Camera modules are now commonplace, integrated in devices ranging from mobile phones to automobiles. CMOS image sensor technology and advances in image processing technology, as well as advances in packaging and interconnect technology, have created the ability to use cameras in applications that were unheard of just a few years ago. Emerging applications of cameras include Internet of Things (IoT), biometrics, augmented reality, machine vision, medicine, and 3D imaging. There are a variety of different methods for three-dimensional imaging, each with their own strengths and weaknesses. This course provides an overview of the main methods for depth imaging: stereo, active stereo, structured light, and time of flight. Following a review of 2D camera fundamentals, the course compares the various architectures of depth cameras. Next, the course covers camera calibration, a crucial step in machine vision that is required for measurements of the environment. Finally, the course provides an overview of depth camera benchmarking, which adds more complexity to testing as compared to 2D cameras.

Intended Audience: Engineers, project leaders, and managers involved in camera image processing pipeline development, image quality engineering, and production-line quality assurance.

Eric Walowit’s interests are in color management, appearance estimation, and image processing pipelines for digital photographic applications. He is the founder (retired) of Color Savvy Systems, a color management hardware and software company. He graduated from RIT’s image science program, concentrating in color science. Walowit is a member of ICC, ISOTC42, IS&T, and CIEJTC10.

Dietmar Wueller studied photographic sciences in Cologne, Germany. He is the founder of Image Engineering, one of the leading suppliers for test equipment for digital image capture devices. Wueller is a member of IS&T, DGPH, and ECI and is the German representative for ISO/TC42/WG18. He also participates in several other standardization activities.