35 search results - page 2 / 7 » Using Non-Parametric Kernel to Segment and Smooth Images Sim... |
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MICCAI
2009
Springer
14 years 11 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
14 years 9 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
15 years 11 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
15 years 11 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...
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PAMI
2012
12 years 12 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...