Drexel Object Occlusion Repository (DOOR)

Abstract

The Drexel Object Occlusion Repository is a reference set of images for computer vision and object recognition researchers. The images are constructed by overlapping input objects from the COIL-20 database and occluding them by various amounts. The amount of occlusion for each image is measured at the pixel level. An accompanying text file for each occlusion image describes the input files, occlusion rates etc.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2005
Accession Number
ADA457294

Entities

People

  • Ali Shokoufandeh
  • John Novatnack
  • Trip Denton

Organizations

  • Drexel University

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Computer Science
  • Computer Vision
  • Computers
  • Databases
  • Image Processing
  • Image Recognition
  • Information Operations
  • Military Research
  • Object Recognition
  • Pattern Recognition
  • Recognition
  • Storage
  • Universities
  • Vascular System Injuries

Fields of Study

  • Computer science

Readers

  • Computer Vision.
  • Database Systems and Applications

Technology Areas

  • AI & ML