The Role of Fixation and Visual Attention in Object Recognition.

Abstract

This research project is a study of the role of fixation and visual attention in object recognition. In this project, we build an active vision system which can recognize a target object in a cluttered scene efficiently and reliably. Our system integrates visual cues like color and stereo to perform figure/ground separation, yielding candidate regions on which to focus attention. Within each image region, we use stereo to extract features that lie within a narrow disparity range about the fixation position. These selected features are then used as input to an Alignment-style recognition system. We show that visual attention and fixation significantly reduce the complexity and the false identifications in model-based recognition using Alignment methods. We also demonstrate that stereo can be used effectively as a figure/ground separator without the need for accurate camera calibration.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1995
Accession Number
ADA299512

Entities

People

  • Aparna L. Ratan

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Calibration
  • Computer Science
  • Computer Vision
  • Coordinate Systems
  • Data Sets
  • Disparities
  • Electrical Engineering
  • High Resolution
  • Identification
  • Image Processing
  • Image Recognition
  • Object Recognition
  • Recognition
  • Target Recognition
  • Three Dimensional
  • Two Dimensional

Fields of Study

  • Computer science

Readers

  • Computer Vision.
  • Human-Computer Interaction (HCI).