365 search results - page 9 / 73 » Gray-Level Reduction Using Local Spatial Features |
ICPR
2010
IEEE
14 years 2 months ago
2010
IEEE
—We propose an approach for improving object recognition and localization using spatial kernels together with instance embedding. Our approach treats each image as a bag of insta...
CVPR
2011
IEEE
13 years 2 months ago
2011
IEEE
In this paper, we propose a novel method to reduce the magnitude of 4D CT artifacts by stitching two images with a data-driven regularization constrain, which helps preserve the l...
CVPR
2010
IEEE
14 years 1 months ago
2010
IEEE
Local features have proven very useful for recognition.
Manifold learning has proven to be a very powerful tool in
data analysis. However, manifold learning application for
imag...
CVPR
2005
IEEE
14 years 9 months ago
2005
IEEE
We combine local texture features (PCA-SIFT), global features (shape context), and spatial features within a single multi-layer AdaBoost model of object class recognition. The fir...
ECCV
2010
Springer
14 years 22 days ago
2010
Springer
This paper presents algorithms for efficiently computing the covariance matrix for features that form sub-windows in a large multidimensional image. For example, several image proc...