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PAMI
2006
221views more  PAMI 2006»
13 years 7 months ago
Face Recognition from a Single Training Image under Arbitrary Unknown Lighting Using Spherical Harmonics
In this paper, we propose two novel methods for face recognition under arbitrary unknown lighting by using spherical harmonics illumination representation, which require only one t...
Lei Zhang 0002, Dimitris Samaras
ICPR
2006
IEEE
14 years 8 months ago
Motion Dependent Spatiotemporal Smoothing for Noise Reduction in Very Dim Light Image Sequences
A new method for noise reduction using spatiotemporal smoothing is presented in this paper. The method is developed especially for reducing the noise that arises when acquiring vi...
Henrik Malm, Eric Warrant
CVPR
2010
IEEE
13 years 10 months ago
Learning 3D Shape from a Single Facial Image via Non-linear Manifold Embedding and Alignment
The 3D reconstruction of a face from a single frontal image is an ill-posed problem. This is further accentuated when the face image is captured under different poses and/or compl...
Xianwang Wang, Ruigang Yang
TOG
2008
171views more  TOG 2008»
13 years 7 months ago
3D unsharp masking for scene coherent enhancement
We present a new approach for enhancing local scene contrast by unsharp masking over arbitrary surfaces under any form of illumination. Our adaptation of a well-known 2D technique...
Tobias Ritschel, Kaleigh Smith, Matthias Ihrke, Th...
ECCV
2004
Springer
14 years 27 days ago
Pose Invariant Face Recognition Under Arbitrary Unknown Lighting Using Spherical Harmonics
Abstract. We propose a new method for face recognition under arbitrary pose and illumination conditions, which requires only one training image per subject. Furthermore, no limitat...
Lei Zhang 0002, Dimitris Samaras