Face Recognition From One Example View.

Abstract

To create a pose-invariant face recognizer, one strategy is the view-based approach, which uses a set of example views at different poses. But what if we only have one example view available, such as a scanned passport photo - can we still recognize faces under different poses? Given one example view at a known pose, it is still possible to use the view-based approach by exploiting prior knowledge of faces to generate virtual views, or views of the face as seen from different poses. To represent prior knowledge, we use 2D example views of prototype faces under different rotations. We will develop example-based techniques for applying the rotation seen in the prototypes to essentially 'rotate' the single real view which is available. Next, the combined set of one real and multiple virtual views is used as example views in a view-based pose-invariant face recognizer. Our experiments suggest that for expressing prior knowledge of faces, 2D example-based approaches should be considered alongside the more standard 3D modeling techniques.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1995
Accession Number
ADA307003

Entities

People

  • David Beymer
  • Tomaso Poggio

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Active Shape Models
  • Algorithms
  • Artificial Intelligence
  • Automatic
  • Computer Graphics
  • Computer Vision
  • Computers
  • Coordinate Systems
  • Databases
  • Decomposition
  • Graphics
  • Interpolation
  • Light Sources
  • Models
  • Object Recognition
  • Recognition
  • Standards

Fields of Study

  • Computer science

Readers

  • Computer Vision.

Technology Areas

  • AI & ML