35 search results - page 2 / 7 » Using Non-Parametric Kernel to Segment and Smooth Images Sim... |
MICCAI
2009
Springer
13 years 7 months ago
2009
Springer
We present a novel method for globally optimal surface segmentation of multiple mutually interacting objects, incorporating both edge and shape knowledge in a 3-D graph-theoretic a...
ICIP
2007
IEEE
13 years 5 months ago
2007
IEEE
This paper addresses the issues of nonlinear edge-preserving image smoothing and segmentation. A ML-based approach is proposed which uses an iterative algorithm to solve the probl...
CVPR
2006
IEEE
14 years 7 months ago
2006
IEEE
Segmentation involves separating an object from the background. In this work, we propose a novel segmentation method combining image information with prior shape knowledge, within...
ECCV
2004
Springer
14 years 7 months ago
2004
Springer
Mean shift is a nonparametric estimator of density which has been applied to image and video segmentation. Traditional mean shift based segmentation uses a radially symmetric kerne...
PAMI
2012
11 years 7 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...