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Design and Implementation of Real-Time Multi-Sensor Vision Systems pp 13–31Cite as

State-of-the-Art Multi-Camera Systems

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Abstract

This chapter presents both pioneering and state-of-the-art algorithms and systems for acquisition of images suitable for wide FOV imaging. The most common systems include translational and rotational single camera systems, catadioptric cameras, multi-camera systems, and finally, commercially available standard and light-field cameras. We also introduce the systems mimicking insect eye, and how camera systems can be used to estimate depth of the scene.

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Authors and Affiliations

  1. Intel Corp, Santa Clara, CA, USA

    Vladan Popovic

  2. Lausanne, Switzerland

    Kerem Seyid

  3. Heptagon AMS Group, Rüschlikon, Switzerland

    Ömer Cogal

  4. Quantum Engineering Center, ETH Zurich, Zürich, Switzerland

    Abdulkadir Akin

  5. EPFL Microelectronic Systems Laboratory, Lausanne, Switzerland

    Yusuf Leblebici

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  1. Vladan Popovic
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  4. Abdulkadir Akin
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  5. Yusuf Leblebici
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Popovic, V., Seyid, K., Cogal, Ö., Akin, A., Leblebici, Y. (2017). State-of-the-Art Multi-Camera Systems. In: Design and Implementation of Real-Time Multi-Sensor Vision Systems. Springer, Cham. https://doi.org/10.1007/978-3-319-59057-8_2

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