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» Degraded Image Analysis: An Invariant Approach
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ACCV
2006
Springer
14 years 1 months ago
Occlusion Invariant Face Recognition Using Selective LNMF Basis Images
In this paper, we propose a novel occlusion invariant face recognition algorithm based on Selective Local Nonnegative Matrix Factorization (S-LNMF) technique. The proposed algorith...
Hyun Jun Oh, Kyoung Mu Lee, Sang Uk Lee, Chung-Hyu...
ICDAR
2009
IEEE
13 years 5 months ago
Document Image Binarisation Using Markov Field Model
This paper presents a new approach for the binarization of seriously degraded manuscript. We introduce a new technique based on a Markov Random Field (MRF) model of the document. ...
Thibault Lelore, Frédéric Bouchara
ICIP
2001
IEEE
14 years 9 months ago
Extraction of rotation invariant signature based on fractal geometry
In this paper, a new method of feature extraction with rotation invariant property is presented. One of the main contributions of this study is that a rotation invariant signature...
Yu Tao, Thomas R. Ioerger, Yuan Yan Tang
ICCV
2005
IEEE
14 years 9 months ago
On the Equivalence of Common Approaches to Lighting Insensitive Recognition
Lighting variation is commonly handled by methods invariant to additive and multiplicative changes in image intensity. It has been demonstrated that comparing images using the dir...
Margarita Osadchy, David W. Jacobs, Michael Linden...
ICPR
2004
IEEE
14 years 8 months ago
Illumination and Expression Invariant Face Recognition with One Sample Image
Most face recognition approaches either assume constant lighting condition or standard facial expressions, thus cannot deal with both kinds of variations simultaneously. This prob...
Brian C. Lovell, Shaokang Chen