Sciweavers

267 search results - page 12 / 54
» Fractal Transforms and Feature Invariance
Sort
View
FLAIRS
2004
13 years 10 months ago
Invariance of MLP Training to Input Feature De-correlation
In the neural network literature, input feature de-correlation is often referred as one pre-processing technique used to improve the MLP training speed. However, in this paper, we...
Changhua Yu, Michael T. Manry, Jiang Li
CORR
2010
Springer
207views Education» more  CORR 2010»
13 years 6 months ago
TILT: Transform Invariant Low-rank Textures
Abstract. In this paper, we show how to efficiently and effectively extract a rich class of low-rank textures in a 3D scene from 2D images despite significant distortion and warpin...
Zhengdong Zhang, Arvind Ganesh, Xiao Liang, Yi Ma
ICIP
2004
IEEE
14 years 10 months ago
Image retrieval based on projective invariance
In this paper we propose an image retrieval scheme based on projectively invariant features. Since cross-ratio is the fundamental invariant feature under projective transformation...
S. Rajashekhar, Subhasis Chaudhuri, Vinay P. Nambo...
RAS
2006
151views more  RAS 2006»
13 years 9 months ago
Localization of mobile robots with omnidirectional vision using Particle Filter and iterative SIFT
The Scale Invariant Feature Transform, SIFT, has been successfully applied to robot localization. Still, the number of features extracted with this approach is immense, especially...
Hashem Tamimi, Henrik Andreasson, André Tre...
ECCV
2008
Springer
14 years 11 months ago
Scale Invariant Action Recognition Using Compound Features Mined from Dense Spatio-temporal Corners
Abstract. The use of sparse invariant features to recognise classes of actions or objects has become common in the literature. However, features are often "engineered" to...
Andrew Gilbert, John Illingworth, Richard Bowden