Attentional Selection in Object Recognition

Abstract

A key problem in object recognition is selection, namely, the problem of identifying regions in an image within which to start the recognition process, ideally by isolating regions that are likely to come from a single object. Such a selection mechanism has been found to be crucial in reducing the combinatorial search involved in the matching stage of object recognition. Even though selection is of help in recognition, it has largely remained unsolved because of the difficulty in isolating regions belonging to objects under complex imaging conditions involving occlusions, changing illumination, and object appearances. Selection, Texture, Color, Object recognition, Grouping, Attentive.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1993
Accession Number
ADA271004

Entities

People

  • S. T. Mahmood
  • Tanveer F. Syeda-tanveer

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • C4I
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Computational Science
  • Computer Science
  • Computer Vision
  • Detection
  • Detectors
  • Geometry
  • Identification
  • Information Processing
  • Light Sources
  • Object Recognition
  • Psychology
  • Recognition
  • Signal Processing
  • Stationary Processes
  • Three Dimensional
  • Two Dimensional

Readers

  • Computer Vision.
  • Systems Analysis and Design