Focal-Plane Sensor-Processor Chips

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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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.

• Adaptive sensing
• CMOS Integrated Circuits
• CMOS Nanoelectronics
• Cellular Sensory and Wave Computing
• Focal-Plan Sensor Processor
• Memristor
• Nanoscale Sensory Chip
• Smart Imagers
• Smart Sensors
• VSOC
• Vision Chip
• Vision System-on-Chip
• Visual Microprocessor

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

  Ákos Zarándy

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