articleJan 7, 2003Closed access

Feature extraction from faces using deformable templates

Harvard University

Indexed incrossref

Abstract

A method for detecting and describing the features of faces using deformable templates is described. The feature of interest, an eye for example, is described by a parameterized template. An energy function is defined which links edges, peaks, and valleys in the image intensity to corresponding properties of the template. The template then interacts dynamically with the image, by altering its parameter values to minimize the energy function, thereby deforming itself to find the best fit. The final parameter values can be used as descriptors for the features. This method is demonstrated by showing deformable templates detecting eyes and mouths in real images.>

Citation impact

710
total citations
FWCI
37.90
Percentile
100%
References
22
Citations per year

Authors

3

Topics & keywords

Keywords
  • Template
  • Parameterized complexity
  • Artificial intelligence
  • Computer science
  • Function (biology)
  • Feature (linguistics)
  • Image (mathematics)
  • Feature extraction
UN Sustainable Development Goals
  • Affordable and clean energy
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