176 search results - page 5 / 36 » Learning with Transformation Invariant Kernels |
CVPR
2003
IEEE
14 years 9 months ago
2003
IEEE
It is now common practice in machine vision to define the variability in an object's appearance in a factored manner, as a combination of shape and texture transformations. I...
CVPR
2011
IEEE
12 years 11 months ago
2011
IEEE
Camera shake is a common source of degradation in photographs. Restoring blurred pictures is challenging because both the blur kernel and the sharp image are unknown, which makes ...
IJON
2007
13 years 7 months ago
2007
We present in this paper a novel approach for shape description based on kernel principal component analysis (KPCA). The strength of this method resides in the similarity (rotatio...
PAMI
2010
13 years 2 months ago
2010
This paper introduces a set of 2D transforms, based on a set of orthogonal projection bases, to generate a set of features which are invariant to rotation. We call these transforms...
BMVC
2010
13 years 5 months ago
2010
High order features have been proposed to incorporate geometrical information into the "bag of feature" representation. We propose algorithms to perform fast weakly supe...