372 search results - page 52 / 75 » Learning Location Invariance for Object Recognition and Loca... |
CLOR
2006
15 years 3 months ago
2006
We present a component-based system for object detection and identification. From a set of training images of a given object we extract a large number of components which are clust...
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PSIVT
2009
Springer
15 years 6 months ago
2009
Springer
PCA-SIFT is an extension to SIFT which aims to reduce SIFT’s high dimensionality (128 dimensions) by applying PCA to the gradient image patches. However PCA is not a discriminati...
ICCV
2009
IEEE
14 years 9 months ago
2009
IEEE
We present a taxonomy for local distance functions where most existing algorithms can be regarded as approximations of the geodesic distance defined by a metric tensor. We categor...
ICML
2008
IEEE
16 years 20 days ago
2008
IEEE
Point clouds are sets of points in two or three dimensions. Most kernel methods for learning on sets of points have not yet dealt with the specific geometrical invariances and pra...
CVPR
2010
IEEE
15 years 7 months ago
2010
IEEE
This paper addresses the problem of recognizing shadows from monochromatic natural images. Without chromatic information, shadow classification is very challenging because the in...