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» Using PageRank in Feature Selection
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180
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ICPR
2008
IEEE
15 years 9 months ago
Ranking the local invariant features for the robust visual saliencies
Local invariant feature based methods have been proven to be effective in computer vision for object recognition and learning. But for an image, the number of points detected and ...
Shengping Xia, Peng Ren, Edwin R. Hancock
CVPR
2006
IEEE
16 years 4 months ago
Local Features, All Grown Up
We present a technique to adapt the domain of local features through the matching process to augment their discriminative power. We start with local affine features selected and n...
Andrea Vedaldi, Stefano Soatto
134
Voted
ICCV
2009
IEEE
15 years 8 months ago
Joint Pose Estimator and Feature Learning for Object Detection
A new learning strategy for object detection is presented. The proposed scheme forgoes the need to train a collection of detectors dedicated to homogeneous families of poses, an...
Karim Ali, Francois Fleuret, David Hasler and Pasc...
110
Voted
CAIP
1997
Springer
161views Image Analysis» more  CAIP 1997»
15 years 6 months ago
A Framework for Feature-Based Motion Recovery in Ground Plane Vehicle Navigation
This paper describes a feature point matching strategy and motion recovery applied to vehicle navigation. A transformation of the image plane is used that keeps the motion of the v...
José M. Sanchiz, Filiberto Pla, John A. Mar...
131
Voted
ICPR
2010
IEEE
15 years 5 months ago
Triangle-Constraint for Finding More Good Features
We present a novel method for finding more good feature pairs between two sets of features. We first select matched features by Bi-matching method as seed points, then organize th...
Xiaojie Guo, Xiaochun Cao