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103
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ACML
2009
Springer
15 years 4 months ago
Coupled Metric Learning for Face Recognition with Degraded Images
Real-world face recognition systems are sometimes confronted with degraded face images, e.g., low-resolution, blurred, and noisy ones. Traditional two-step methods have limited per...
Bo Li, Hong Chang, Shiguang Shan, Xilin Chen
ACCV
2006
Springer
15 years 3 months ago
A Multiscale Co-linearity Statistic Based Approach to Robust Background Modeling
Background subtraction is an essential task in several static camera based computer vision systems. Background modeling is often challenged by spatio-temporal changes occurring due...
Prithwijit Guha, Dibyendu Palai, K. S. Venkatesh, ...
PAMI
2007
131views more  PAMI 2007»
14 years 9 months ago
The Gray-Code Filter Kernels
—In this paper, we introduce a family of filter kernels—the Gray-Code Kernels (GCK) and demonstrate their use in image analysis. Filtering an image with a sequence of Gray-Code...
Gil Ben-Artzi, Hagit Hel-Or, Yacov Hel-Or
81
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ICRA
2010
IEEE
116views Robotics» more  ICRA 2010»
14 years 8 months ago
Learning visibility of landmarks for vision-based localization
— We aim to perform robust and fast vision-based localization using a pre-existing large map of the scene. A key step in localization is associating the features extracted from t...
Pablo Fernández Alcantarilla, Sang Min Oh, ...
PAMI
2008
189views more  PAMI 2008»
14 years 9 months ago
Detecting Objects of Variable Shape Structure With Hidden State Shape Models
This paper proposes a method for detecting object classes that exhibit variable shape structure in heavily cluttered images. The term "variable shape structure" is used t...
Jingbin Wang, Vassilis Athitsos, Stan Sclaroff, Ma...