Processing Translational Motion Sequences.

Abstract

This paper presents a procedure for processing real world image sequences produced by relative translational motion between a sensor and environmental objects. In this procedure, the determination of the direction of sensor translation is effectively combined with the determination of the displacements of image features and environmental depth. It requires no restrictions on the direction of motion, nor the location and shape of environmental objects. It has been applied successfully to real-world image sequences from several different task domains. The processing consists of two basic steps: Feature Extraction and Search. The feature extraction process picks out small image areas which may correspond to distinguishing parts of environmental objects. The direction of translational motion is then found by a search which determines the image displacement paths along which a measure of feature mismatch is minimized for a set of features. The correct direction of translation will minimize this error measure and also determine the corresponding image displacement paths for which the extracted features match well.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1982
Accession Number
ADA122823

Entities

People

  • Daryl T. Lawton

Organizations

  • University of Massachusetts Amherst

Tags

Communities of Interest

  • Air Platforms
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Collision Avoidance
  • Computations
  • Computer Graphics
  • Computer Science
  • Computer Vision
  • Coordinate Systems
  • Detection
  • Displacement
  • Extraction
  • Feature Extraction
  • Graphics
  • Image Processing
  • Pattern Recognition
  • Sequences
  • Translations
  • Two Dimensional

Readers

  • Control Systems Engineering.
  • Image Processing and Computer Vision.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference