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» Face recognition with one training image per person
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CVPR
2012
IEEE
11 years 10 months ago
Discriminately decreasing discriminability with learned image filters
In machine learning and computer vision, input signals are often filtered to increase data discriminability. For example, preprocessing face images with Gabor band-pass filters ...
Jacob Whitehill, Javier R. Movellan
MVA
2000
172views Computer Vision» more  MVA 2000»
13 years 8 months ago
Partial Face Extraction and Recognition Using Radial Basis Function Networks
work, applies a nonlinear transformation from the input space to the hidden space. The output layer Partial face images, e.g.1 eyes, nose, and ear supplies the response of the netw...
Nan He, Kiminori Sato, Yukitoshi Takahashi
MM
2009
ACM
157views Multimedia» more  MM 2009»
14 years 2 months ago
Face image modeling by multilinear subspace analysis with missing values
The main difficulty in face image modeling is to decompose those semantic factors contributing to the formation of the face images, such as identity, illumination and pose. One p...
Xin Geng, Kate Smith-Miles, Zhi-Hua Zhou, Liang Wa...
ICCV
2011
IEEE
12 years 7 months ago
Relative Attributes
Human-nameable visual “attributes” can benefit various recognition tasks. However, existing techniques restrict these properties to categorical labels (for example, a person ...
Devi Parikh, Kristen Grauman
DICTA
2003
13 years 8 months ago
3D Face Recognition Using Longitudinal Section and Transection
In this paper, a new practical implementation of a person verification system using features of longitudinal section and transection and other facial, rotation compensated 3D face ...
Yeung-hak Lee