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2006, ISBN: 9780470034880
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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… Más…
ISBN: 9780470034880
A digital copy of "Analog Vlsi Circuits For The Perception Of Visual Motion" by Stocker. Download is immediately available upon purchase! 9780470034880,0470034882,analog,vlsi,circuits,per… Más…
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Detalles del libro - Analog VLSI Circuits for the Perception of Visual Motion
EAN (ISBN-13): 9780470034880
ISBN (ISBN-10): 0470034882
Año de publicación: 2006
Editorial: John Wiley & Sons
242 Páginas
Idioma: eng/Englisch
Libro en la base de datos desde 2009-08-10T14:32:51+02:00 (Madrid)
Página de detalles modificada por última vez el 2024-02-29T16:37:28+01:00 (Madrid)
ISBN/EAN: 0470034882
ISBN - escritura alterna:
0-470-03488-2, 978-0-470-03488-0
Mode alterno de escritura y términos de búsqueda relacionados:
Autor del libro: stöcker, alan stocker, wiley peter, chadwick
Título del libro: vlsi, analog, visual perception, circuits
Datos del la editorial
Autor: Alan A. Stocker
Título: Analog VLSI Circuits for the Perception of Visual Motion
Editorial: Wiley; John Wiley & Sons
242 Páginas
Año de publicación: 2006-03-30
Idioma: Inglés
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.Más, otros libros, que pueden ser muy parecidos a este:
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