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» The Partial Robust M-approach
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CVPR
2012
IEEE
13 years 1 months ago
Visual tracking via adaptive structural local sparse appearance model
Sparse representation has been applied to visual tracking by finding the best candidate with minimal reconstruction error using target templates. However most sparse representati...
Xu Jia, Huchuan Lu, Ming-Hsuan Yang
CVPR
2012
IEEE
13 years 1 months ago
Fixed-rank representation for unsupervised visual learning
Subspace clustering and feature extraction are two of the most commonly used unsupervised learning techniques in computer vision and pattern recognition. State-of-theart technique...
Risheng Liu, Zhouchen Lin, Fernando De la Torre, Z...
ICCV
2009
IEEE
16 years 3 months ago
A Shape-Based Object Class Model for Knowledge Transfer
Object class models trained on hundreds or thousands of images have shown to enable robust detection. Transferring knowledge from such models to new object classes trained from ...
Michael Stark, Michael Goesele, Bernt Schiele
CVPR
2001
IEEE
16 years 26 days ago
3D Object Recognition from Range Images using Local Feature Histograms
This paper explores a view-based approach to recognize free-form objects in range images. We are using a set of local features that are easy to calculate and robust to partial occ...
Bastian Leibe, Bernt Schiele, Günter Hetzel, ...
ICCV
2007
IEEE
16 years 24 days ago
Non-Linear Beam Model for Tracking Large Deformations
In this paper we investigate physics-based plane beam model, frequently used in mechanical and civil engineering, to track large non-linear deformations in images. Such models do ...
Slobodan Ilic, Pascal Fua