Local Spatio-Temporal Analysis in Vision Systems:

Abstract

This is the final progress report of teh vision group at the University of Texas under support of AFOSR URI grant F4962O-93-1-O3O7. In this report we will attempt to summarize the major accomplishments over the previous 5 years. Aim 1: to develop a mathematical model of the initial stages of visual processing (the front end mechanisms), based upon a wide range of physiological and psychophysical data. Aim 2: To develop new methods and models of local frequency coding. Aim 3: To develop new mathematical models and computer-vision algorithms for performing complex visual tasks that are based upon local frequency coding representations. Aim 4: To develop models for human performance in complex visual tasks that build upon current understanding of the front-end mechanisms. Aim 5: To develop a computational testbed for implementing, comparing, integrating and visualizing the different models and modules developed during the project, using a massively parallel machine and graphics workstation front-end.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1998
Accession Number
ADA353750

Entities

People

  • A. C. Bovik
  • B. J. Super
  • D. L. Gilden
  • L. K. Cormack
  • W. S. Geisler

Organizations

  • University of Texas at Austin

Tags

Communities of Interest

  • Energy and Power Technologies
  • Human Systems

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Cognitive Science
  • Computer Vision
  • Identification
  • Image Processing
  • Information Processing
  • Machine Learning
  • Mathematical Models
  • Neural Networks
  • Neurosciences
  • Pattern Recognition
  • Psychology
  • Recognition
  • Signal Processing
  • Three Dimensional
  • Two Dimensional

Fields of Study

  • Medicine

Readers

  • Computer Vision.
  • Parallel and Distributed Computing.
  • Technical Research and Report Writing.

Technology Areas

  • AI & ML