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» Learning on lie groups for invariant detection and tracking
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CVPR
2008
IEEE
14 years 9 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 7 months ago
Learning the Lie Groups of Visual Invariance
Xu Miao, Rajesh P. N. Rao
CVPR
2009
IEEE
15 years 2 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
14 years 1 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 10 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...