94 search results - page 6 / 19 » Maximum kernel density estimator for robust fitting |
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
In this article, a novel method to accurately estimate 3D surface of objects of interest is proposed. Each ray projected from 2D image plane to 3D space is modelled with the Gauss...
ICPR
2010
IEEE
14 years 1 months ago
2010
IEEE
A novel 3D shape matching method is proposed in this paper. We first extract angular and distance feature pairs from pre-processed 3D models, then estimate their kernel densities ...
INFORMATICALT
2011
13 years 2 months ago
2011
It is well known that in situations involving the study of large datasets where influential observations or outliers maybe present, regression models based on the Maximum Likeliho...
PAMI
2012
11 years 10 months ago
2012
Abstract—We propose a robust fitting framework, called Adaptive Kernel-Scale Weighted Hypotheses (AKSWH), to segment multiplestructure data even in the presence of a large number...
NIPS
2007
13 years 9 months ago
2007
A method is proposed for semiparametric estimation where parametric and nonparametric criteria are exploited in density estimation and unsupervised learning. This is accomplished ...