Deformable templates for face recognition

  • Authors:
  • Alan L. Yuille

  • Affiliations:
  • Division of Applied Science Harvard University

  • Venue:
  • Journal of Cognitive Neuroscience
  • Year:
  • 1991

Quantified Score

Hi-index 0.00

Visualization

Abstract

We describe an approach for extracting facial features from images and for determining the spatial organization between these features using the concept of a deformable template. This is a parameterized geometric model of the object to be recognized together with a measure of how well it fits the image data. Variations in the parameters correspond to allowable deformations of the object and can be specified by a probabilistic model. After the extraction stage the parameters of the deformable template can be used for object description and recognition.