195 search results - page 1 / 39 » Robust Computer Vision through Kernel Density Estimation |
ECCV
2002
Springer
14 years 6 months ago
2002
Springer
Abstract. Two new techniques based on nonparametric estimation of probability densities are introduced which improve on the performance of equivalent robust methods currently emplo...
ICPR
2010
IEEE
13 years 10 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 ...
ICCV
2001
IEEE
14 years 6 months ago
2001
IEEE
An effective object recognition scheme is to represent and match images on the basis of histograms derived from photometric color invariants. A drawback, however, is that certain c...
ICASSP
2008
IEEE
13 years 11 months ago
2008
IEEE
Robust model fitting plays an important role in many computer vision applications. In this paper, we propose a new robust estimator — Maximum Kernel Density Estimator (MKDE) bas...
PAMI
2010
13 years 2 months ago
2010
In this paper, we present a new Adaptive Scale Kernel Consensus (ASKC) robust estimator as a generalization of the popular and state-of-the-art robust estimators such as RANSAC (R...