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Analog VLSI Circuits for the Perception of Visual Motion - Alan A. Stocker
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Analog VLSI Circuits for the Perception of Visual Motion - primeira edição

2006, ISBN: 9780470034880

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Analog VLSI Circuits for the Perception of Visual Motion - nuovo livro

ISBN: 9780470034880

Although it is now possible to integrate many millions of transistors on a single chip, traditional digital circuit technology is now reaching its limits, facing problems of cost and tech… mais…

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Analog Vlsi Circuits For The Perception Of Visual Motion - livro usado

ISBN: 9780470034880

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Alan A. Stocker:
Analog VLSI Circuits for the Perception of Visual Motion (luguel mensal. Assinatura anual)

ISBN: 9780470034880

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Alan A. Stocker:
Analog VLSI Circuits for the Perception of Visual Motion - nuovo livro

ISBN: 9780470034880

Analog VLSI Circuits for the Perception of Visual Motion: ab 121.99 € eBooks > Sachthemen & Ratgeber > Technik John Wiley & Sons eBook als pdf, John Wiley & Sons

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EAN (ISBN-13): 9780470034880
ISBN (ISBN-10): 0470034882
Ano de publicação: 2006
Editor/Editora: John Wiley & Sons
242 Páginas
Língua: eng/Englisch

Livro na base de dados desde 2009-08-10T09:32:51-03:00 (Sao Paulo)
Página de detalhes modificada pela última vez em 2024-02-29T12:37:28-03:00 (Sao Paulo)
Número ISBN/EAN: 0470034882

Número ISBN - Ortografia alternativa:
0-470-03488-2, 978-0-470-03488-0
Ortografia alternativa e termos de pesquisa relacionados:
Autor do livro: stöcker, alan stocker, wiley peter, chadwick
Título do livro: vlsi, analog, visual perception, circuits


Dados da editora

Autor: Alan A. Stocker
Título: Analog VLSI Circuits for the Perception of Visual Motion
Editora: Wiley; John Wiley & Sons
242 Páginas
Ano de publicação: 2006-03-30
Língua: Inglês
114,99 € (DE)
Not available (reason unspecified)

EA; E107; E-Book; Nonbooks, PBS / Technik/Elektronik, Elektrotechnik, Nachrichtentechnik; Schaltkreise und Komponenten (Bauteile); Circuit Theory & Design / VLSI / ULSI; Electrical & Electronics Engineering; Elektrotechnik u. Elektronik; Intelligent Systems & Agents; Intelligente Systeme; Intelligente Systeme u. Agenten; Robotics; Robotik; Schaltkreise - Theorie u. Entwurf / VLSI / ULSI; VLSI; Schaltkreise - Theorie u. Entwurf / VLSI / ULSI; Intelligente Systeme u. Agenten; Robotik; BB

Foreword. Preface. 1 Introduction. 1.1 Artificial Autonomous Systems. 1.2 Neural Computation and Analog Integrated Circuits. 2 Visual Motion Perception. 2.1 Image Brightness. 2.2 Correspondence Problem. 2.3 Optical Flow. 2.4 Matching Models. 2.4.1 Explicit matching. 2.4.2 Implicit matching. 2.5 FlowModels. 2.5.1 Global motion. 2.5.2 Local motion. 2.5.3 Perceptual bias. 2.6 Outline for a Visual Motion Perception System. 2.7 Review of aVLSI Implementations. 3 Optimization Networks. 3.1 AssociativeMemory and Optimization. 3.2 Constraint Satisfaction Problems. 3.3 Winner-takes-all Networks. 3.3.1 Network architecture. 3.3.2 Global convergence and gain. 3.4 Resistive Network. 4 Visual Motion Perception Networks. 4.1 Model for Optical Flow Estimation. 4.1.1 Well-posed optimization problem. 4.1.2 Mechanical equivalent. 4.1.3 Smoothness and sparse data. 4.1.4 Probabilistic formulation. 4.2 Network Architecture. 4.2.1 Non-stationary optimization. 4.2.2 Network conductances. 4.3 Simulation Results for Natural Image Sequences. 4.4 Passive Non-linear Network Conductances. 4.5 Extended Recurrent Network Architectures. 4.5.1 Motion segmentation. 4.5.2 Attention and motion selection. 4.6 Remarks. 5 Analog VLSI Implementation. 5.1 Implementation Substrate. 5.2 Phototransduction. 5.2.1 Logarithmic adaptive photoreceptor. 5.2.2 Robust brightness constancy constraint. 5.3 Extraction of the Spatio-temporal Brightness Gradients. 5.3.1 Temporal derivative circuits. 5.3.2 Spatial sampling. 5.4 Single Optical Flow Unit. 5.4.1 Wide-linear-range multiplier. 5.4.2 Effective bias conductance. 5.4.3 Implementation of the smoothness constraint. 5.5 Layout. 6 Smooth Optical Flow Chip. 6.1 Response Characteristics. 6.1.1 Speed tuning. 6.1.2 Contrast dependence. 6.1.3 Spatial frequency tuning. 6.1.4 Orientation tuning. 6.2 Intersection-of-constraints Solution. 6.3 Flow Field Estimation. 6.4 DeviceMismatch. 6.4.1 Gradient offsets. 6.4.2 Variations across the array. 6.5 Processing Speed. 6.6 Applications. 6.6.1 Sensor modules for robotic applications. 6.6.2 Human-machine interface. 7 Extended Network Implementations. 7.1 Motion Segmentation Chip. 7.1.1 Schematics of the motion segmentation pixel. 7.1.2 Experiments and results. 7.2 Motion Selection Chip. 7.2.1 Pixel schematics. 7.2.2 Non-linear diffusion length. 7.2.3 Experiments and results. 8 Comparison to Human Motion Vision. 8.1 Human vs. Chip Perception. 8.1.1 Contrast-dependent speed perception. 8.1.2 Bias on perceived direction of motion. 8.1.3 Perceptual dynamics. 8.2 Computational Architecture. 8.3 Remarks. Appendix. A Variational Calculus. B Simulation Methods. C Transistors and Basic Circuits. D Process Parameters and Chips Specifications. References. Index.

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