Towards Autonomous Motion Vision

Abstract

Earlier, we introduced a direct method called fixation for the recovery of shape and motion in the general case. The method uses neither feature correspondence nor optical flow. Instead, it directly employs the spatiotemporal gradients of image brightnesses. This work reports the experimental results of applying some of our fixation algorithms to a sequence of real images where the motion is a combination of translation and rotation. These results show that parameters such as the fixation patch size have crucial effects on the estimation of some motion parameters. Some of the critical issues involved in the implementation of our autonomous motion vision system are also discussed here. Among those are the criteria for automatic choice of an optimum size for the fixation patch, and an appropriate location for the fixation point which result in good estimates for important motion parameters. Finally, a calibration method is described for identifying the real location of the rotation axis in imaging systems.... Direct motion vision, Fixation, Fixation point, Motion, Shape, Camera calibration.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1992
Accession Number
ADA259339

Entities

People

  • M. A. Taalebinezhaad

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Autonomy

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Artificial Intelligence
  • Brightness
  • Calibration
  • Computations
  • Computers
  • Coordinate Systems
  • Equations
  • Flow
  • Flow Fields
  • Personal Computers
  • Recovery
  • Relative Motion
  • Rotation
  • Sequences
  • Translations

Readers

  • Computational Modeling and Simulation
  • Control Systems Engineering.
  • Human-Computer Interaction (HCI).