3D modelling and recognition

Authors:
M. Rodrigues;A. Robinson;L. Alboul;W. Brink
Affiliations:
Geometric Modelling and Pattern Recognition Research Group, Materials and Engineering Research Institute, Sheffield Hallam University, Sheffield, UK;Geometric Modelling and Pattern Recognition Research Group, Materials and Engineering Research Institute, Sheffield Hallam University, Sheffield, UK;Geometric Modelling and Pattern Recognition Research Group, Materials and Engineering Research Institute, Sheffield Hallam University, Sheffield, UK;Geometric Modelling and Pattern Recognition Research Group, Materials and Engineering Research Institute, Sheffield Hallam University, Sheffield, UK
Venue:
ISCGAV'06 Proceedings of the 6th WSEAS International Conference on Signal Processing, Computational Geometry & Artificial Vision
Year:
2006

Citing 2
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Abstract

3D face recognition is an open field. This paper presents a method for 3D facial recognition based on Principal Components Analysis. The method uses a relatively large number of facial measurements and ratios and yields reliable recognition. We also highlight an approach to sensor development for fast 3D model acquisition and automatic facial feature extraction.