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146
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ECCV
2006
Springer
16 years 6 months ago
Top-Points as Interest Points for Image Matching
We consider the use of top-points for object retrieval. These points are based on scale-space and catastrophe theory, and are invariant under gray value scaling and offset as well ...
Bram Platel, Evguenia Balmachnova, Luc Florack, Ba...
ICPR
2004
IEEE
16 years 5 months ago
Object Classification with Multi-Scale Autoconvolution
This paper assesses the recently proposed affine invariant image transform called Multi-Scale Autoconvolution (MSA) in some practical object classification problems. A classificat...
Esa Rahtu, Janne Heikkilä
ICML
2008
IEEE
16 years 5 months ago
The skew spectrum of graphs
The central issue in representing graphstructured data instances in learning algorithms is designing features which are invariant to permuting the numbering of the vertices. We pr...
Risi Imre Kondor, Karsten M. Borgwardt
ICASSP
2009
IEEE
15 years 11 months ago
View-invariant tensor null-space representation for multiple motion trajectory retrieval and classification
In this paper, we propose a novel general framework for tensor based null space affine invariants, namely, tensor null space invariants (TNSI) with a linear classifier for high ...
Xu Chen, Dan Schonfeld, Ashfaq Khokhar
140
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IEICET
2010
124views more  IEICET 2010»
14 years 11 months ago
Fast Polar and Spherical Fourier Descriptors for Feature Extraction
Polar Fourier Descriptor(PFD) and Spherical Fourier Descriptor(SFD) are rotation invariant feature descriptors for two dimensional(2D) and three dimensional(3D) image retrieval an...
Zhuo Yang, Sei-ichiro Kamata