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CVPR
2006
IEEE
14 years 9 months ago
Dimensionality Reduction by Learning an Invariant Mapping
Dimensionality reduction involves mapping a set of high dimensional input points onto a low dimensional manifold so that "similar" points in input space are mapped to ne...
Raia Hadsell, Sumit Chopra, Yann LeCun
PAMI
2010
124views more  PAMI 2010»
13 years 2 months ago
Two-Dimensional Polar Harmonic Transforms for Invariant Image Representation
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...
Pew-Thian Yap, Xudong Jiang, Alex ChiChung Kot
IJPRAI
2002
97views more  IJPRAI 2002»
13 years 7 months ago
Shape Description and Invariant Recognition Employing Connectionist Approach
This paper presents a new approach for shape description and invariant recognition by geometric-normalization implemented by neural networks. The neural system consists of a shape...
Jezekiel Ben-Arie, Zhiqian Wang
CVPR
2009
IEEE
1378views Computer Vision» more  CVPR 2009»
15 years 1 months ago
A Novel Feature Descriptor Invariant to Complex Brightness Changes
We describe a novel and robust feature descriptor called ordinal spatial intensity distribution (OSID) which is invariant to any monotonically increasing brightness changes. Many t...
Feng Tang, Suk Hwan Lim, Nelson L. Chang, Hai Tao
DAS
2008
Springer
13 years 9 months ago
Affine Invariant Recognition of Characters by Progressive Pruning
There are many problems to realize camera-based character recognition. One of the problems is that characters in scenes are often distorted by geometric transformations such as af...
Akira Horimatsu, Ryo Niwa, Masakazu Iwamura, Koich...