Modular Processing Stages of the Pipe Machine

Abstract

This grant, for $52,000 was applied entirely for the purchase of: 4 Modular Processing Stages for PIPE (frame buffers expanded 4X-deep). The PIPE machine has played a very significant role in our research at the Laboratory for Sensory Robotics. Since November 1987 we have developed real-time PIPE algorithms for the following vision tasks: 1. basic feature extraction such as edges, zero-crossings, gradients, orientations, corners, change detection, log-polar transforms; 2. moving object centroid detection and tracking for a binocular robot eye motion system under neural control (using ADALINES); 3. measurement of visual motion (for moving edges) based on the theory of Convected Activation Profiles by Waxman et al.; image velocity fields are updated at 15 times per second; 4. stereo vision matching based on Prazdny's disparity gradient limit local support algorithm with depth maps generated once per second; 5. preliminary implementation on PIPE of perceptual grouping of features using the Neural Analog Diffusion-Enhancement Layer (NADEL) concept of Waxman & Seibert.

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Document Details

Document Type
Technical Report
Publication Date
Jun 30, 1988
Accession Number
ADA204638

Entities

People

  • Allen Waxman

Organizations

  • Boston University

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Algorithms
  • Biological Sciences
  • Change Detection
  • Computer Stereo Vision
  • Computer Vision
  • Computers
  • Content Addressable Memory
  • Detection
  • Engineering
  • Feature Extraction
  • Neural Networks
  • Pattern Recognition
  • Recognition
  • Robotics
  • Stratified Fluids
  • Systems Engineering
  • Universities

Readers

  • Computer Vision.
  • Fluid Mechanics and Fluid Dynamics.
  • Neural Network Machine Learning.

Technology Areas

  • AI & ML
  • Autonomy