Visual Perception of Structure from Motion

Abstract

The research performed in this project has examined the abilities of human observers to perceive 3D form from different types of optical structure within moving or stationary visual images. The research has been organized into four general problem areas, including the low level detection of coherent, motion, the analysis of 3D form from motion, the analysis of image shading and texture, and the identification of image contours. Our basic strategy in all of these areas has been to identify the key assumptions of current computational models; to test the psychological validity of those assumptions using appropriate psychophysical procedures; and, based on the results of those experiments, to develop alternative models that more closely match the perceptual capabilities of actual human observers. In contrast to most common methods of 3D image analysis, which are designed to compute precise metrical descriptions, our results have shown that human perception is primarily concerned with more abstract aspects of object structure, such as affine or ordinal properties, which are easier to computer and are more robust to uncontrolled changes in viewing conditions.

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Document Details

Document Type
Technical Report
Publication Date
Apr 30, 1992
Accession Number
ADA253235

Entities

People

  • James T. Todd

Organizations

  • Boston University

Tags

DTIC Thesaurus Topics

  • Adaptive Systems
  • Conformal Structures
  • Data Displays
  • Detection
  • Identification
  • Image Processing
  • Mathematical Analysis
  • Observers
  • Ophthalmology
  • Optical Properties
  • Perception
  • Psychology
  • Reflectance
  • Sequences
  • Shape
  • Three Dimensional
  • Visual Perception

Readers

  • Computer Vision.
  • Theoretical Analysis.