Analog VLSI Circuits for the Perception of Visual Motion

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Analog VLSI Circuits for the Perception of Visual Motion

PDF Free Download | Analog VLSI Circuits for the Perception of Visual Motion by Alan A. Stocker

Contents of Analog VLSI Circuits for the Perception of Visual Motion

  • Introduction
  • Artificial Autonomous Systems
  • Neural Computation and Analog Integrated Circuits
  • Visual Motion Perception
  • Image Brightness
  • Correspondence Problem
  • Optical Flow
  • Matching Models
  • Explicit matching
  • Implicit matching
  • Flow Models
  • Global motion
  • Local motion
  • Perceptual bias
  • Outline for a Visual Motion Perception System
  • Review of aVLSI Implementations
  • Optimization Networks
  • Associative Memory and Optimization
  • Constraint Satisfaction Problems
  • Winner-takes-all Networks
  • Network architecture
  • Global convergence and gain
  • Resistive Network
  • Visual Motion Perception Networks
  • Model for Optical Flow Estimation
  • Well-posed optimization problem
  • Mechanical equivalent
  • Smoothness and sparse data
  • Probabilistic formulation
  • Network Architecture
  • Non-stationary optimization
  • Network conductances
  • Simulation Results for Natural Image Sequences
  • Passive Non-linear Network Conductances
  • Extended Recurrent Network Architectures
  • Motion segmentation
  • Attention and motion selection
  • Remarks
  • Analog VLSI Implementation
  • Implementation Substrate
  • Phototransduction
  • Logarithmic adaptive photoreceptor
  • Robust brightness constancy constraint
  • Extraction of the Spatio-temporal Brightness Gradients
  • Temporal derivative circuits
  • Spatial sampling
  • Single Optical Flow Unit
  • Wide-linear-range multiplier
  • Effective bias conductance
  • Implementation of the smoothness constraint
  • Layout
  • Smooth Optical Flow Chip
  • Response Characteristics
  • Speed tuning
  • Contrast dependence
  • Spatial frequency tuning
  • Orientation tuning
  • Intersection-of-constraints Solution
  • Flow Field Estimation
  • Device Mismatch
  • Gradient offsets
  • Variations across the array
  • Processing Speed
  • Applications
  • Sensor modules for robotic applications
  • Human–machine interface
  • Extended Network Implementations
  • Motion Segmentation Chip
  • Schematics of the motion segmentation pixel
  • Experiments and results
  • Motion Selection Chip
  • Pixel schematics
  • Non-linear diffusion length
  • Experiments and results
  • Comparison to Human Motion Vision
  • Human vs Chip Perception
  • Contrast-dependent speed perception
  • Bias on perceived direction of motion
  • Perceptual dynamics
  • Computational Architecture
  • Remarks

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