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» Highly Discriminative Invariant FEatures for Image Matching
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ICRA
2010
IEEE
147views Robotics» more  ICRA 2010»
14 years 8 months ago
Feature detection and matching in images with radial distortion
— Image keypoints are broadly used in robotics for different purposes, ranging from recognition to 3D reconstruction, passing by SLAM and visual servoing. Robust keypoint matchin...
Miguel Lourenço, João P. Barreto, Ab...
109
Voted
ICIAR
2009
Springer
15 years 4 months ago
Scale Invariant Feature Transform with Irregular Orientation Histogram Binning
The SIFT (Scale Invariant Feature Transform) descriptor is a widely used method for matching image features. However, perfect scale invariance can not be achieved in practice becau...
Yan Cui, Nils Hasler, Thorsten Thormählen, Ha...
CVPR
2000
IEEE
15 years 11 months ago
Reliable Feature Matching across Widely Separated Views
In this paper we present a robust method for automatically matching features in images corresponding to the same physical point on an object seen from two arbitrary viewpoints. Un...
Adam Baumberg
103
Voted
CVPR
2005
IEEE
15 years 11 months ago
Multi-Image Matching Using Multi-Scale Oriented Patches
This paper describes a novel multi-view matching framework based on a new type of invariant feature. Our features are located at Harris corners in discrete scale-space and oriente...
Matthew Brown, Richard Szeliski, Simon A. J. Winde...
PAMI
2011
14 years 4 months ago
Learning Linear Discriminant Projections for Dimensionality Reduction of Image Descriptors
This paper proposes a general method for improving image descriptors using discriminant projections. Two methods based on Linear Discriminant Analysis have been recently introduce...
Hongping Cai, Krystian Mikolajczyk, Jiri Matas