Investigation into face pose distributions

Shaogang Gong, Stephen McKenna, John J. Collins

Research output: Contribution to conferencePaperpeer-review

58 Citations (Scopus)

Abstract

Visual perception of faces is invariant under many transformations, perhaps the most problematic of which is pose change (face rotating in depth). We use a variation of Gabor wavelet transform (GWT) as a representation framework for investigating face pose measurement. Dimensionality reduction using principal components analysis (PCA) enables pose changes to be visualised as manifolds in low-dimensional subspaces and provides a useful mechanism for investigating these changes. The effectiveness of measuring face pose with GWT representations was examined using PCA. We discuss our experimental results and draw a few preliminary conclusions.

Original languageEnglish
Pages265-270
Number of pages6
DOIs
Publication statusPublished - 1 Dec 1996
EventProceedings of the 1996 2nd International Conference on Automatic Face and Gesture Recognition - Killington, VT, USA
Duration: 14 Oct 199616 Oct 1996

Conference

ConferenceProceedings of the 1996 2nd International Conference on Automatic Face and Gesture Recognition
CityKillington, VT, USA
Period14/10/9616/10/96

Keywords

  • Principal component analysis
  • Face detection
  • Face recognition
  • Robustness
  • Wavelet transforms
  • Solid modeling
  • Eyes
  • Lighting
  • Machine vision
  • Laboratories

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