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PAMI
2006
122views more  PAMI 2006»
14 years 9 months ago
Total Variation Models for Variable Lighting Face Recognition
In this paper, we present the logarithmic total variation (LTV) model for face recognition under varying illumination, including natural lighting conditions, where we rarely know t...
Terrence Chen, Wotao Yin, Xiang Sean Zhou, Dorin C...
CCECE
2006
IEEE
15 years 3 months ago
Using Red-Eye to Improve Face Detection in Low Quality Video Images
This paper presents a method to improve face detection by locating eyes in an image using infrared (IR) light. IR light produces Red-Eye effect making the pupil to shine more tha...
Richard Youmaran, Andy Adler
TIM
2010
214views Education» more  TIM 2010»
14 years 4 months ago
Image-Quality-Based Adaptive Face Recognition
The accuracy of automated face recognition systems is greatly affected by intraclass variations between enrollment and identification stages. In particular, changes in lighting con...
Harin Sellahewa, Sabah Jassim
PCM
2004
Springer
197views Multimedia» more  PCM 2004»
15 years 2 months ago
Face Samples Re-lighting for Detection Based on the Harmonic Images
Different environment illumination has a great impact on face detection. In this paper, we present a solution by the face relighting based on the harmonic images. The basic idea i...
Jie Chen, Yuemin Li, Laiyun Qing, Baocai Yin, Wen ...
ICPR
2008
IEEE
15 years 10 months ago
On averaging face images for recognition under pose variations
Recently, psychological studies showed that averaging human face images greatly improves the performance of face recognition under various pose, illumination, expression, and/or a...
Sanqiang Zhao, Xiaozheng Zhang, Yongsheng Gao