Research Institute of Visual Computing

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The assessment of facial variation in 4747 British school children

Authors: Arshed M. Toma*, Alexei I. Zhurov*, Rebecca Playle*, David Marshall**, Paul L. Rosin** and Stephen Richmond*

DOI: 10.1093/ejo/cjr106

Abstract:

The aim of this study is to identify key components contributing to facial variation in a large population-based sample of 15.5-year-old children (2514 females and 2233 males).

The subjects were recruited from the Avon Longitudinal Study of Parents and Children. Three-dimensional facial images were obtained for each subject using two high-resolution Konica Minolta laser scanners. Twenty-one reproducible facial landmarks were identified and their coordinates were recorded. The facial images were registered using Procrustes analysis. Principal component analysis was then employed to identify independent groups of correlated coordinates.

Link to Paper

Authors

Prof. David Marshall

Prof. David Marshall

Computer Vision including Reverse Engineering, Automated Inspection, Dynamic 2D/3D Facial Analysis.

Prof. Paul Rosin

Prof. Paul Rosin

Various aspects of computer vision, including 2D and 3D facial analysis and synthesis.