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Pyramidal Architectures for Computer Vision

Computer vision deals with the problem of manipulating information contained in large quantities of sensory data, where raw data emerge from the transducing 6 7 sensors at rates between 10 to 10 pixels per second. Conventional general­ purpose computers are unable to achieve the computation rates re...

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Bibliographic Details
Main Authors: Cantoni, Virginio, Ferretti, Marco (Author)
Format: eBook
Language:English
Published: New York, NY Springer US 1994, 1994
Edition:1st ed. 1994
Series:Advances in Computer Vision and Machine Intelligence
Subjects:
Computer Science
Electrical And Electronic Engineering
Electrical Engineering
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
Table of Contents:
  • 1. Hierarchical Architectures
  • 1.1. Introduction
  • 1.2. Theory of Hierarchical Modular Systems
  • 1.3. Self-Organizing Hierarchical Modular Systems
  • 1.4. Hierarchical Architectures for Parallel Processing Machines
  • References
  • 2. Hierarchical Strategies in Computer Vision Systems
  • 2.1. Introduction
  • 2.2. Allocation of Attention in Computer Vision Systems
  • 2.3. Multiresolution Matching
  • 2.4. Fine-to-Coarse Feature Generation
  • 2.5. Coarse-to-Fine Searches
  • 2.6. Image Flow Diagrams
  • 2.7. General Planning Strategies
  • References
  • 3. Hierarchical Homogeneous Topologies
  • 3.1. Introduction
  • 3.2. Hierarchical Paradigm
  • 3.3. Comparison Parameters and Evaluation Criteria
  • 3.4. Bus-Oriented Architectures
  • 3.5. Link-Oriented Architectures
  • 3.6. Performance Measures
  • 3.7. Applicability
  • 3.8. Conclusions
  • References
  • 4. A Taxonomy of Hierarchical Machines for Computer Vision
  • 4.1. Paradigm for Computer Vision
  • 10.2. Complexity of Some Basic Algorithms
  • 10.3. Special Pyramids
  • 10.4. Pyramidal Techniques
  • 10.5. Conclusions
  • References
  • 4.2. Taxonomy of Hierarchical Machines
  • 4.3. Conclusions
  • References
  • 5. Compact and Distributed Pyramids
  • 5.1. Introduction
  • 5.2. Compact Pyramids
  • 5.3. Distributed Pyramids
  • 5.4. Conclusions
  • References
  • 6. Pipeline Multiresolution Systems
  • 6.1. Introduction
  • 6.2. Pyramid Vision Machine System
  • 6.3. PIPE System
  • 6.4. Conclusions
  • References
  • 7. Simulation of Pyramids on Flat Arrays and Hypercubes
  • 7.1. Introduction
  • 7.2. Pyramids and Meshes
  • 7.3. Pyramids and Hypercubes
  • 7.4. Conclusions
  • References
  • 8. Heterogeneous Hierarchical Systems
  • 8.1. Introduction
  • 8.2. Warwick Pyramid System
  • 8.3. Image Understanding Architecture
  • 8.4. The PASM
  • 8.5. Array/Net Project
  • 8.6. Conclusions
  • References
  • 9. Programming a Hierarchical Structure
  • 9.1. Languages: An Introduction
  • 9.2. Control Environment
  • 9.3. Conclusions
  • References.-10. Pyramidal Tools and Applications
  • 10.1. Introduction

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