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» Some Solutions to the Missing Feature Problem in Vision
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ICPR
2002
IEEE
14 years 8 months ago
Linear and Non-Linear Model for Statistical Localization of Landmarks
This paper presents and compares 3 methods for the statistical localization of partially occulted landmarks. In many real applications, some information is visible in images and s...
Barbara Romaniuk, Michel Desvignes, Marinette Reve...
MICCAI
2009
Springer
14 years 4 months ago
A Robust Solution to Multi-modal Image Registration by Combining Mutual Information with Multi-scale Derivatives
In this paper we present a novel method for performing image registration of different modalities. Mutual Information (MI) is an established method for performing such registration...
Philip A. Legg, Paul L. Rosin, A. David Marshall, ...
CVPR
2001
IEEE
14 years 9 months ago
Scene-Consistent Detection of Feature Points in Video Sequences
Detection of feature points in images is an important preprocessing stage for many algorithms in Computer Vision. We address the problem of detection of feature points in video se...
Ariel Tankus, Yehezkel Yeshurun
CVPR
2006
IEEE
14 years 9 months ago
Multiclass Object Recognition with Sparse, Localized Features
We apply a biologically inspired model of visual object recognition to the multiclass object categorization problem. Our model modifies that of Serre, Wolf, and Poggio. As in that...
Jim Mutch, David G. Lowe
CVPR
2012
IEEE
11 years 10 months ago
Bilevel sparse coding for coupled feature spaces
In this paper, we propose a bilevel sparse coding model for coupled feature spaces, where we aim to learn dictionaries for sparse modeling in both spaces while enforcing some desi...
Jianchao Yang, Zhaowen Wang, Zhe Lin, Xianbiao Shu...