A High-Speed Object Recognition Chip Based on Biologically-Realistic Hybrid Temporal Processing Element

Abstract

The technical objective of this Phase I effort is to evaluate the feasibility of a binocular object recognition system for the integrated active vision system (AVS) currently under development at IRSI. The AVS based on a custom very large scale integration (VLSI) Hybrid Temporal Processing Element (HTPE) developed by IRSI (patent pending). Active vision implies that the image collection and processing operations form a single, integrated, adaptive system in which high-level processes, such as object recognition, can augment lower- level processes through feedback connections and can itself be controlled by higher levels. For example, the object recognition process can instruct the oscillating saccadic perception system to enhance the image resolution by a particular amount to assist in the object recognition process. Higher level perception systems can guide the object recognition processes by using expectations of what objects might be present in the image. Therefore, the AVS behaves a single image collection and processing system with coupled low-and high-level capabilities

Open PDF

Document Details

Document Type
Technical Report
Publication Date
May 26, 1993
Accession Number
ADA265490

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Change Detection
  • Coding
  • Computer Vision
  • Detection
  • Detectors
  • Feature Extraction
  • Geometry
  • Image Processing
  • Information Processing
  • Information Systems
  • Object Recognition
  • Orientation (Direction)
  • Recognition
  • Simulations
  • Simulators
  • Three Dimensional
  • Very Large Scale Integration

Readers

  • Computer Vision.
  • Integrated Circuit Design and Technology.
  • Systems Analysis and Design