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» Computing Robustness and Persistence for Images
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ECCV
2002
Springer
16 years 7 months ago
Regularized Shock Filters and Complex Diffusion
We address the issue of regularizing Osher and Rudin's shock filter, used for image deblurring, in order to allow processes that are more robust against noise. Previous soluti...
Guy Gilboa, Nir A. Sochen, Yehoshua Y. Zeevi
ACIVS
2006
Springer
15 years 8 months ago
Context-Based Scene Recognition Using Bayesian Networks with Scale-Invariant Feature Transform
Scene understanding is an important problem in intelligent robotics. Since visual information is uncertain due to several reasons, we need a novel method that has robustness to the...
Seung-Bin Im, Sung-Bae Cho
ICNC
2005
Springer
15 years 10 months ago
Line-Based PCA and LDA Approaches for Face Recognition
Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) techniques are important and well-developed area of image recognition and to date many linear discriminati...
Vo Dinh Minh Nhat, Sungyoung Lee
ICCV
2007
IEEE
16 years 7 months ago
Depth Information by Stage Classification
Recently, methods for estimating 3D scene geometry or absolute scene depth information from 2D image content have been proposed. However, general applicability of these methods in...
André Redert, Arnold W. M. Smeulders, Jan-M...
ICPR
2008
IEEE
15 years 11 months ago
Pose adaptive LDA based face recognition
In this paper, a novel method based on pose adaptive linear discriminant analysis (PALDA) is proposed to deal with pose variation problems in face recognition when each person has...
Zhenger Wang, Xiaoqing Ding, Chi Fang