On Multi-Scale Differential Features for Face Recognition

Abstract

This paper describes an algorithm that uses multi-scale Gaussian differential features (MGDFs) for face recognition. Results on standard sets indicate at least 96% recognition accuracy, and a comparable or better performance with other well known techniques. The MGDF based technique is very general; its original application included similarity retrieval in textures, trademarks, binary shapes and heterogeneous gray-level collections.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2005
Accession Number
ADA440240

Entities

People

  • Allen R. Hanson
  • Sai Ravela

Organizations

  • University of Massachusetts Amherst

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Computations
  • Curvature
  • Filters
  • Frequency
  • Frequency Domain
  • Histograms
  • Identification
  • Identities
  • Illumination
  • Information Operations
  • Intensity
  • Orientation (Direction)
  • Recognition
  • Rotation

Fields of Study

  • Computer science

Readers

  • Computer Vision.

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms