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» A novel local feature descriptor for image matching
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ECCV
2008
Springer
15 years 12 months ago
Hierarchical Support Vector Random Fields: Joint Training to Combine Local and Global Features
Abstract. Recently, impressive results have been reported for the detection of objects in challenging real-world scenes. Interestingly however, the underlying models vary greatly e...
Paul Schnitzspan, Mario Fritz, Bernt Schiele
ICPR
2004
IEEE
15 years 11 months ago
Affine Propagation for Surface Reconstruction in Wide Baseline Stereo
The problem of dense matching in wide baseline stereo is considered. It is assumed that the scene is formed by piecewise-smooth, Lambertian, textured surfaces and that rectified i...
Dmitry Chetverikov, Zoltán Megyesi
ICIP
2010
IEEE
14 years 8 months ago
OmniSIFT: Scale invariant features in omnidirectional images
We propose a method to compute scale invariant features in omnidirectional images. We present a formulation based on Riemannian geometry for the definition of differential operato...
Zafer Arican, Pascal Frossard
ICPR
2006
IEEE
15 years 11 months ago
Active Feature Models
In this paper active feature models are proposed. They utilize local texture features and a statistical shape model for the reliable localization of landmarks in images. They are ...
Georg Langs, Philipp Peloschek, Rene Donner, Micha...
ICIP
2008
IEEE
15 years 11 months ago
Using point correspondences without projective deformation for multi-view stereo reconstruction
This paper proposes a novel algorithm to reconstruct a 3D surface from a calibrated set of images. In a first pass, it uses Scale Invariant Features Transform (SIFT) descriptor co...
Adrien Auclair, Nicole Vincent, Laurent D. Cohen