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Focal-Plane Sensor-Processor Chips

  • Book
  • © 2011

Overview

Editors:
  1. Ákos Zarándy

    1. Computer & Automation Research Inst., MTA Budapest, Budapest, Hungary

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  • Describes a variety of state-of-the-art vision chips
  • Introduces opportunities offered by the technology through application examples
  • Includes coverage of daptive sensing and smart sensors
  • Includes supplementary material: sn.pub/extras

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Table of contents (13 chapters)

  1. Front Matter

    Pages i-xiii
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  2. Anatomy of the Focal-Plane Sensor-Processor Arrays

    • Ákos Zarándy
    Pages 1-15

  3. SCAMP-3: A Vision Chip with SIMD Current-Mode Analogue Processor Array

    • Piotr Dudek
    Pages 17-43

  4. MIPA4k: Mixed-Mode Cellular Processor Array

    • Mika Laiho, Jonne Poikonen, Ari Paasio
    Pages 45-71

  5. ASPA: Asynchronous–Synchronous Focal-Plane Sensor-Processor Chip

    • Alexey Lopich, Piotr Dudek
    Pages 73-104

  6. Focal-Plane Dynamic Texture Segmentation by Programmable Binning and Scale Extraction

    • Jorge Fernández-Berni, Ricardo Carmona-Galán
    Pages 105-124

  7. A Biomimetic Frame-Free Event-Driven Image Sensor

    • Christoph Posch
    Pages 125-149

  8. A Focal Plane Processor for Continuous-Time 1-D Optical Correlation Applications

    • Gustavo Liñán-Cembrano, Luis Carranza, Betsaida Alexandre, Ángel Rodríguez-Vázquez, Pablo de la Fuente, Tomás Morlanes
    Pages 151-179

  9. VISCUBE: A Multi-Layer Vision Chip

    • Ákos Zarándy, Csaba Rekeczky, Péter Földesy, Ricardo Carmona-Galán, Gustavo Liñán Cembrano, Soós Gergely et al.
    Pages 181-208

  10. The Nonlinear Memristive Grid

    • Feijun Jiang, Bertram E. Shi
    Pages 209-225

  11. Bionic Eyeglass: Personal Navigation System for Visually Impaired People

    • Kristóf Karacs, Róbert Wagner, Tamás Roska
    Pages 227-244

  12. Implementation and Validation of a Looming Object Detector Model Derived from Mammalian Retinal Circuit

    • Ákos Zarándy, Tamás Fülöp
    Pages 245-259

  13. Real-Time Control of Laser Beam Welding Processes: Reality

    • Leonardo Nicolosi, Andreas Blug, Felix Abt, Ronald Tetzlaff, Heinrich Höfler, Daniel Carl
    Pages 261-281

  14. Real-Time Multi-Finger Tracking in 3D for a Mouseless Desktop

    • Norbert Bérci, Péter Szolgay
    Pages 283-299

  15. Back Matter

    Pages 301-305
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Keywords

About this book

Focal-plane sensor-processor imager devices are sensor arrays and processor arrays embedded in each other on the same silicon chip. This close coupling enables ultra-fast processing even on tiny, low power devices, because the slow and energetically expensive transfer of the large amount of sensory data is eliminated. This technology also makes it possible to produce locally adaptive sensor arrays, which can (similarly to the human retina) adapt to the large dynamics of the illumination in a single scene This book focuses on the implementation and application of state-of-the-art vision chips. It provides an overview of focal plane chip technology, smart imagers and cellular wave computers, along with numerous examples of current vision chips, 3D sensor-processor arrays and their applications. Coverage includes not only the technology behind the devices, but also their near- and mid-term research trends.

Editors and Affiliations

  • Computer & Automation Research Inst., MTA Budapest, Budapest, Hungary

    Ákos Zarándy

Bibliographic Information

  • Book Title: Focal-Plane Sensor-Processor Chips

  • Editors: Ákos Zarándy

  • DOI: https://doi.org/10.1007/978-1-4419-6475-5

  • Publisher: Springer New York, NY

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer Science+Business Media, LLC 2011

  • Hardcover ISBN: 978-1-4419-6474-8

  • Softcover ISBN: 978-1-4899-9468-4

  • eBook ISBN: 978-1-4419-6475-5

  • Edition Number: 1

  • Number of Pages: XIII, 305

  • Topics: Circuits and Systems, Computer-Aided Engineering (CAD, CAE) and Design

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