4 search results - page 1 / 1 » Mean Shift Based Clustering in High Dimensions: A Texture Cl... |
ICCV
2003
IEEE
14 years 6 months ago
2003
IEEE
Feature space analysis is the main module in many computer vision tasks. The most popular technique, k-means clustering, however, has two inherent limitations: the clusters are co...
VC
2008
13 years 4 months ago
2008
In this paper, based on the new definition of high frequency geometric detail for point-sampled surfaces, a new approach for detail manipulation and a detail-preserving editing fra...
COMGEO
2004
ACM
13 years 4 months ago
2004
ACM
In k-means clustering we are given a set of n data points in d-dimensional space d and an integer k, and the problem is to determine a set of k points in d , called centers, to mi...
CVPR
2009
IEEE
13 years 11 months ago
2009
IEEE
Given an image region of pixels, second order statistics can be used to construct a descriptor for object representation. One example is the covariance matrix descriptor, which sh...