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» Image matching based on a local invariant descriptor
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ICCV
2011
IEEE
12 years 7 months ago
Ask the locals: multi-way local pooling for image recognition
Invariant representations in object recognition systems are generally obtained by pooling feature vectors over spatially local neighborhoods. But pooling is not local in the featu...
Y-Lan Boureau, Nicolas Le Roux, francis bach, Jean...
CVPR
2009
IEEE
1070views Computer Vision» more  CVPR 2009»
15 years 1 months ago
Surface Feature Detection and Description with Applications to Mesh Matching
In this paper we revisit local feature detectors/descriptors developed for 2D images and extend them to the more general framework of scalar fields defined on 2D manifolds. We pro...
Andrei Zaharescu (INRIA Grenoble), Edmond Boyer (L...
ICASSP
2008
IEEE
14 years 2 months ago
Phase singularities for image representation and matching
Phase features are widely used in image processing and representation due to their stability to deformation and noise [1, 2]. However, phase singularities,where the signals vanish...
Yu Qiao, Wei Wang, Nobuaki Minematsu, Jianzhuang L...
ICPR
2008
IEEE
14 years 2 months ago
Rotation invariant local phase quantization for blur insensitive texture analysis
This paper introduces a rotation invariant extension to the blur insensitive local phase quantization texture descriptor. The new method consists of two stages, the first of whic...
Ville Ojansivu, Esa Rahtu, Janne Heikkilä
CVPR
2012
IEEE
11 years 10 months ago
D-Nets: Beyond patch-based image descriptors
Despite much research on patch-based descriptors, SIFT remains the gold standard for finding correspondences across images and recent descriptors focus primarily on improving spe...
Felix von Hundelshausen, Rahul Sukthankar