Face recognition in 2D and 2.5D using ridgelets and photometric stereo

Kautkar, S., Atkinson, G. and Smith, M. (2012) Face recognition in 2D and 2.5D using ridgelets and photometric stereo. Pattern Recognition, 45 (9). pp. 3317-3327. ISSN 0031-3203

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Publisher's URL: http://dx.doi.org/10.1016/j.patcog.2012.03.007

Abstract

A new technique for face recognition -- \textit{Ridgefaces} -- is presented. The method combines the well-known Fisherface method with the ridgelet transform and high-speed Photometric Stereo (PS). The paper first derives ridgelet projections for 2D/2.5D face images before the Fisherface approach is used to reduce the dimensionality and increase the spread of the resulting feature vectors. The ridgelet transform is attractive because it is efficient at extracting highly discriminating low-frequency directional features. Best recognition is obtained when Ridgefaces is performed on surface normals acquired from PS, although good results are also found using standard 2D images and PS-derived albedo maps.

Item Type:Article
Uncontrolled Keywords:face recognition, ridgelet transform, photometric stereo, dimensionality reduction
Faculty/Department:Faculty of Environment and Technology > Department of Engineering Design and Mathematics
ID Code:16934
Deposited By: Dr G. Atkinson
Deposited On:18 Jun 2012 10:31
Last Modified:23 May 2014 09:32

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