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168
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CVPR
2010
IEEE
15 years 1 months ago
P-N learning: Bootstrapping binary classifiers by structural constraints
This paper shows that the performance of a binary classifier can be significantly improved by the processing of structured unlabeled data, i.e. data are structured if knowing the ...
Zdenek Kalal, Jiri Matas, Krystian Mikolajczyk
127
Voted
ICIP
2006
IEEE
16 years 5 months ago
A Photometric Model for Specular Highlights and Lighting Changes. Application to Feature Points Tracking
This article proposes a local photometric model that compensates for specular highlights and lighting variations due to position and intensity changes. We define clearly on which ...
Alain Trémeau, Christine Fernandez-Maloigne...
218
Voted
ISMAR
2009
IEEE
15 years 10 months ago
A dataset and evaluation methodology for template-based tracking algorithms
Unlike dense stereo, optical flow or multi-view stereo, templatebased tracking lacks benchmark datasets allowing a fair comparison between state-of-the-art algorithms. Until now,...
Sebastian Lieberknecht, Selim Benhimane, Peter Geo...
277
Voted
ECCV
2004
Springer
16 years 5 months ago
A Boosted Particle Filter: Multitarget Detection and Tracking
The problem of tracking a varying number of non-rigid objects has two major difficulties. First, the observation models and target distributions can be highly non-linear and non-Ga...
Kenji Okuma, Ali Taleghani, Nando de Freitas, Jame...
118
Voted
CVPR
2008
IEEE
16 years 5 months ago
Globally optimal shape-based tracking in real-time
Most algorithms for real-time tracking of deformable shapes provide sub-optimal solutions for a suitable energy minimization task: The search space is typically considered too lar...
Thomas Schoenemann, Daniel Cremers