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» Learning on lie groups for invariant detection and tracking
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CVPR
2008
IEEE
14 years 6 months ago
Learning on lie groups for invariant detection and tracking
Oncel Tuzel, Fatih Murat Porikli, Peter Meer
NECO
2007
105views more  NECO 2007»
13 years 4 months ago
Learning the Lie Groups of Visual Invariance
Xu Miao, Rajesh P. N. Rao
CVPR
2009
IEEE
14 years 12 months ago
Learning Visual Flows: A Lie Algebraic Approach
We present a novel method for modeling dynamic visual phenomena, which consists of two key aspects. First, the in- tegral motion of constituent elements in a dynamic scene is ca...
Dahua Lin, W. Eric L. Grimson, John W. Fisher III
ICPR
2008
IEEE
13 years 11 months ago
Non-Abelian invariant feature detection
We present a novel formulation of non-Abelian invariant feature detection. By choosing suitable measuring functions, we show that the measuring space and the corresponding feature...
Yaniv Gur, Nir A. Sochen
CVPR
2012
IEEE
11 years 7 months ago
2D/3D rotation-invariant detection using equivariant filters and kernel weighted mapping
In many vision problems, rotation-invariant analysis is necessary or preferred. Popular solutions are mainly based on pose normalization or brute-force learning, neglecting the in...
Kun Liu, Qing Wang, Wolfgang Driever, Olaf Ronnebe...