Designing a camera system requires a deep understanding of the fundamental principles of image formation and the physical characteristics of its components. Translating computer vision-based system requirements into camera system parameters is a crucial step. In this talk, we will provide a comprehensive overview of the key concepts involved in designing or specifying a camera system. We will cover the basics of image formation and the associated physics. We will discuss sensor and lens effects that impact image quality, such as diffraction, circle of confusion, and depth of field. We will also discuss application-specific requirements, including lighting conditions, frame rate and motion blur. Finally, we will present a detailed example illustrating how to translate application requirements into camera parameters, highlighting cost-performance trade-offs. Attendees will gain a thorough understanding of the key factors influencing camera system design and be able to make informed decisions when selecting or designing a camera system.
Specifying and Designing Cameras for Computer Vision Applications
Session Speakers
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Richard Crisp
Vice President and Chief Scientist, Etron Technology America
Richard D. Crisp is Vice President of New Technology Development and Chief Scientist for Etron America, where he is engaged in developing low-cost DRAM architectures for miniaturized imaging systems. Richard has designed imaging systems, CPUs, memories and miniaturized semiconductor packaging. Prior to Etron, he worked for Intel, Motorola, MIPS, Rambus and Tessera and has received over 80 patents for his work. He was a member of the ISSCC Program Committee from 1991 to 2000, serving as the Program Committee Chair in 2000, Vice Chair in 1999 and Memory Subcommittee Chair from 1997 to 1998. He has published many peer-reviewed papers in journals and conferences such as the ISSCC, IEEE JSSC, SPIE Electronic Imaging, ISMP, ICEP and IS&T.
