The Perceptual Buildup of Three-Dimensional Structure from Motion

Abstract

We present a set of psychophysical experiments that measure the accuracy of perceived three-dimensional structure derived from relative motion in the changing two-dimensional image. The experiments are motivated in part by a computational model proposed by Ullman (1984), called the incremental rigidity scheme, in which an accurate 3-D structure is built up incrementally, by considering images of moving objects over an extended time period. Our main conclusions are: first, the human visual system can derive an accurate model of the relative depths of moving points, even in the presence of noise in their image positions; second, the accuracy of the 3-D model improves with time, eventually reaching a plateau; and third, the 3-D structure currently perceived appears to depend on previous 3-D models. Through computer simulations, we relate the results of our psychophysical experiments with the predictions of Ullman's model.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1989
Accession Number
ADA214640

Entities

People

  • Edward H. Adelson
  • Ellen C. Hildreth
  • Norberto M. Grzywacz
  • Victor K. Inada

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Cyber
  • Human Systems

DTIC Thesaurus Topics

  • Accuracy
  • Artificial Intelligence
  • Computations
  • Computer Simulations
  • Computer Vision
  • Detection
  • Gaussian Noise
  • Information Processing
  • Line Of Sight
  • Motor Skills
  • New York
  • Perception
  • Relative Motion
  • Simulations
  • Three Dimensional
  • Two Dimensional
  • Visual Perception

Fields of Study

  • Computer science

Readers

  • Computational Modeling and Simulation
  • Computer Vision.
  • Mathematics or Statistics