Recognition by Parts

Abstract

We argue that most natural objects have a part structure that we can recover from image data and thus use as the basis for "general-purpose" recognition. We describe a "parts" representation that is fairly general purpose, despite having only a small number of parameters. Having this expressive power captured by a small number of parameters allows us to approach the problem of recovering an object's part structure by use of minimal length encoding. We present several examples of recovering part structure using various types of range imagery to show that the recovery procedure is robust.

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Document Details

Document Type
Technical Report
Publication Date
Aug 25, 1987
Accession Number
ADA461783

Entities

People

  • Alex P. Pentland

Organizations

  • SRI International

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Availability
  • Classification
  • Coding
  • Contracts
  • Information Operations
  • Instructions
  • Monitoring
  • Recognition
  • Recovery
  • Security
  • Standards

Fields of Study

  • Computer science

Readers

  • Computer Vision.
  • Mathematical Modeling and Probability Theory.