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105
Voted
CVPR
2003
IEEE
16 years 2 months ago
Face Recognition in Hyperspectral Images
Hyperspectral cameras provide useful discriminants for human face recognition that cannot be obtained by other imaging methods. We examine the utility of using near-infrared hypers...
Zhihong Pan, Glenn Healey, Manish Prasad, Bruce J....
111
Voted
CVPR
2012
IEEE
13 years 3 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
96
Voted
ICIP
2008
IEEE
15 years 7 months ago
Enhanced usability of iris recognition via efficient user interface and iris image restoration
In this paper, we investigate the possibility of enhancing the usability of iris recognition via exploration of the specular spots in iris images. Firstly, the spatial configurat...
Zhaofeng He, Zhenan Sun, Tieniu Tan, Xianchao Qiu
107
Voted
DAGM
2001
Springer
15 years 5 months ago
Similarity Measures for Occlusion, Clutter, and Illumination Invariant Object Recognition
Novel similarity measures for object recognition and image matching are proposed, which are inherently robust against occlusion, clutter, and nonlinear illumination changes. They c...
Carsten Steger
96
Voted
PAMI
2000
112views more  PAMI 2000»
15 years 14 days ago
A Noise-Adaptive Discriminant Function and Its Application to Blurred Machine-Printed Kanji Recognition
Accurate recognition of blurred images is a practical but hitherto mostly overlooked problem. In this paper, we quantify the level of noise in blurred images and propose a new modi...
Shinichiro Omachi, Fang Sun, Hirotomo Aso