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» Invariant representation in image processing
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138
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CVPR
2012
IEEE
13 years 6 months ago
Learning rotation-aware features: From invariant priors to equivariant descriptors
Identifying suitable image features is a central challenge in computer vision, ranging from representations for lowlevel to high-level vision. Due to the difficulty of this task,...
Uwe Schmidt, Stefan Roth
136
Voted
ICIP
2005
IEEE
15 years 9 months ago
Image matching based on a local invariant descriptor
— Image matching is a fundamental task of many computer vision problems. In this paper we present a novel approach to match two images in presenting significant geometric deform...
Lei Qin, Wen Gao
CVPR
2010
IEEE
16 years 2 hour ago
Posture Invariant Surface Description and Feature Extraction
We propose a posture invariant surface descriptor for triangular meshes. Using intrinsic geometry, the surface is first transformed into a representation that is independent of t...
Stefanie Wuhrer, Zouhour Ben Azouz, Chang Shu
130
Voted
ICASSP
2009
IEEE
15 years 1 months ago
Image spam filtering using Fourier-Mellin invariant features
Image spam is a new obfuscating method which spammers invented to more effectively bypass conventional text based spam filters. In this paper, a framework for filtering image spam...
Haiqiang Zuo, Xi Li, Ou Wu, Weiming Hu, Guan Luo
119
Voted
PAMI
2008
121views more  PAMI 2008»
15 years 3 months ago
Theoretical Foundations of Spatially-Variant Mathematical Morphology Part II: Gray-Level Images
In this paper, we develop a spatially-variant (SV) mathematical morphology theory for gray-level signals and images in the euclidean space. The proposed theory preserves the geomet...
Nidhal Bouaynaya, Dan Schonfeld