Adaptive Optoelectronic Eyes: Hybrid Sensor/Processor Architectures

Abstract

The goal of this research program was to develop novel algorithms, architectures, and hardware for a truly smart camera, with inherent capability for semi-autonomous object recognition as well as optimal image capture. In this research, we combined striking advances in the understanding of the mechanisms of biological vision systems with similar advances in hybrid electronic/photonic packaging technology, in order to develop adaptive, artificial, biologically-inspired vision systems. A key research program objective, therefore, was to establish and address the fundamental scientific and technological issues that currently inhibit the implementation of such adaptive optoelectronic eyes.

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Document Details

Document Type
Technical Report
Publication Date
Nov 13, 2006
Accession Number
ADA459423

Entities

People

  • A. Madhukar
  • Armand R. Tanguay Jr.
  • B. K. Jenkins
  • Bartlett Mel
  • Christoph Von Der Malsburg
  • Irving Biederman
  • John O'brien

Organizations

  • University of Southern California

Tags

Communities of Interest

  • Advanced Electronics
  • Air Platforms
  • Ground and Sea Platforms
  • Sensors

DTIC Thesaurus Topics

  • Cognitive Science
  • Computational Science
  • Computer Languages
  • Computer Vision
  • Detectors
  • Information Processing
  • Information Systems
  • Materials Science
  • Modules (Electronics)
  • Neural Networks
  • Optical Phenomena
  • Optics
  • Psychology
  • Self Organizing Systems
  • Semiconductors
  • Three Dimensional
  • Two Dimensional

Readers

  • Integrated Circuit Design and Technology.
  • Sensor Fusion and Tracking Systems.
  • Systems Analysis and Design

Technology Areas

  • Microelectronics
  • Microelectronics - Microelectromechanical Systems