Satyajit N. Kautkar
Face recognition in 2D and 2.5D using ridgelets and photometric stereo
Kautkar, Satyajit N.; Atkinson, Gary A.; Smith, Melvyn L.; Kautkar, Satyajit; Atkinson, Gary; Smith, Melvyn
Authors
Gary A. Atkinson
Melvyn L. Smith
Satyajit Kautkar
Gary Atkinson Gary.Atkinson@uwe.ac.uk
Associate Professor
Melvyn Smith Melvyn.Smith@uwe.ac.uk
Research Centre Director Vision Lab/Prof
Abstract
A new technique for face recognition - 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. © 2012 Elsevier Ltd. All rights reserved.
Citation
Smith, M. L., Atkinson, G. A., Kautkar, S. N., Kautkar, S., Atkinson, G., & Smith, M. (2012). Face recognition in 2D and 2.5D using ridgelets and photometric stereo. Pattern Recognition, 45(9), 3317-3327. https://doi.org/10.1016/j.patcog.2012.03.007
Journal Article Type | Article |
---|---|
Publication Date | Jan 1, 2012 |
Deposit Date | Jun 18, 2012 |
Publicly Available Date | Feb 10, 2016 |
Journal | Pattern Recognition |
Print ISSN | 0031-3203 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 45 |
Issue | 9 |
Pages | 3317-3327 |
DOI | https://doi.org/10.1016/j.patcog.2012.03.007 |
Keywords | face recognition, ridgelet transform, photometric stereo, dimensionality reduction |
Public URL | https://uwe-repository.worktribe.com/output/944433 |
Publisher URL | http://dx.doi.org/10.1016/j.patcog.2012.03.007 |
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