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ICCV
2001
IEEE
14 years 6 months ago
The Variable Bandwidth Mean Shift and Data-Driven Scale Selection
We present two solutions for the scale selection problem in computer vision. The rst one is completely nonparametric and is based on the the adaptive estimation of the normalized ...
Dorin Comaniciu, Visvanathan Ramesh, Peter Meer
ICIP
2006
IEEE
14 years 6 months ago
Acoustic Range Image Segmentation by Effective Mean Shift
Image perception in underwater environment is a difficult task for a human operator, and data segmentation becomes a crucial step toward an higher level interpretation and recogni...
Umberto Castellani, Marco Cristani, Vittorio Murin...
SMI
2005
IEEE
154views Image Analysis» more  SMI 2005»
13 years 10 months ago
Feature Sensitive Mesh Segmentation with Mean Shift
Feature sensitive mesh segmentation is important for many computer graphics and geometric modeling applications. In this paper, we develop a mesh segmentation method which is capa...
Hitoshi Yamauchi, Seungyong Lee, Yunjin Lee, Yutak...
ECCV
2004
Springer
14 years 6 months ago
Image and Video Segmentation by Anisotropic Kernel Mean Shift
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...
Jue Wang, Bo Thiesson, Yingqing Xu, Michael F. Coh...
ECCV
2006
Springer
14 years 6 months ago
Accelerated Convergence Using Dynamic Mean Shift
Mean shift is an iterative mode-seeking algorithm widely used in pattern recognition and computer vision. However, its convergence is sometimes too slow to be practical. In this pa...
Kai Zhang, James T. Kwok, Ming Tang