60 search results - page 1 / 12 » Subspace Constrained Mean-Shift |
ICCV
2009
IEEE
14 years 10 months ago
2009
IEEE
Deformable model fitting has been actively pursued in the computer vision
community for over a decade. As a result, numerous approaches have
been proposed with varying degrees of...
CVPR
2010
IEEE
14 years 1 months ago
2010
IEEE
We propose a new family of algorithms for denoising data assumed to lie on a low-dimensional manifold. The algorithms are based on the blurring mean-shift update, which moves each...
ICCV
2009
IEEE
14 years 10 months ago
2009
IEEE
Mean shift clustering is a powerful unsupervised data
analysis technique which does not require prior knowledge
of the number of clusters, and does not constrain the shape
of th...
ICCV
2003
IEEE
14 years 7 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...
ACCV
2006
Springer
13 years 11 months ago
2006
Springer
In this paper, we propose a new stereo matching algorithm using an iterated graph cuts and mean shift filtering technique. Our algorithm consists of following two steps. In the ...