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

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.

• 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
• Contract Date: Feb 10, 2016