Visual Form Detection in 3-Dimensional Space.

Abstract

This monograph presents the results of a program of research dealing with the detection of dotted stimulus forms embedded in dotted visual noise. Nineteen experiments are described concerning the detection of single flashing dots, dotted lines, and both random and regularly dotted planes. A mathematical model based upon the autocorrelational transform is also tested for some of the experiments. Among the most important findings are a remarkable insensitivity of the perceptual system to temporal and spatial irregularities and a qualitative difference in the way observers deal with planes formed from random dot arrays and dotted outlines respectively. The autocorrelation model is in general agreement with the psychophysical results against which it is tested. The main conclusion arising from this research may be summarized as the rule of linear periodicity. Observers ar sensitive to forms to the extent that they contain dotted, straight lines with equal interdot spacing. This sensitivity appears to be a primitive of visual perception in a manner that is analogous to the sensitivity exhibited by the autocorrelation to periodic forms. Historical and lexicographic matters pertaining to the problem of form perception are also discussed in this monograph. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1982
Accession Number
ADA120448

Entities

People

  • William R. Uttal

Organizations

  • University of Michigan

Tags

Communities of Interest

  • Air Platforms
  • Cyber
  • Energy and Power Technologies
  • Human Systems
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Computational Science
  • Computer Programming
  • Computer Programs
  • Databases
  • Geometric Forms
  • Human Factors Engineering
  • Information Processing
  • Information Science
  • Mathematical Models
  • Medical Personnel
  • Military Research
  • Network Science
  • Pattern Recognition
  • Psychology
  • Three Dimensional
  • Visual Perception

Readers

  • Statistical inference.
  • Theoretical Analysis.
  • Vision Science/Vision Psychology/Cognitive Neuroscience.

Technology Areas

  • Space
  • Space - Space Objects