195 search results - page 7 / 39 » Robust Computer Vision through Kernel Density Estimation |
ECCV
2002
Springer
14 years 9 months ago
2002
Springer
We present a variational integration of nonlinear shape statistics into a Mumford?Shah based segmentation process. The nonlinear statistics are derived from a set of training silho...
CVPR
2012
IEEE
11 years 10 months ago
2012
IEEE
Recent work on background subtraction has shown developments on two major fronts. In one, there has been increasing sophistication of probabilistic models, from mixtures of Gaussi...
EGITALY
2006
13 years 9 months ago
2006
In this paper, a new segmentation approach for sets of 3D unorganized points is proposed. The method is based on a clustering procedure that separates the modes of a non-parametri...
ICVGIP
2004
13 years 9 months ago
2004
Robust model fitting is important for computer vision tasks due to the occurrence of multiple model instances, and, unknown nature of noise. The linear errors-in-variables (EIV) m...
ICPR
2006
IEEE
14 years 8 months ago
2006
IEEE
We propose an alternative to probability density classifiers based on normal distributions LDA and QDA. Instead of estimating covariance matrices using the standard maximum likeli...