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» Invariant representation in image processing
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CVPR
2012
IEEE
13 years 4 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
ICIP
2005
IEEE
15 years 7 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
15 years 10 months 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
ICASSP
2009
IEEE
14 years 11 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
PAMI
2008
121views more  PAMI 2008»
15 years 1 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