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» Feature Sensitive Mesh Segmentation with Mean Shift
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ICCV
2001
IEEE
14 years 7 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
CGF
2010
171views more  CGF 2010»
13 years 2 months ago
Efficient Mean-shift Clustering Using Gaussian KD-Tree
Mean shift is a popular approach for data clustering, however, the high computational complexity of the mean shift procedure limits its practical applications in high dimensional ...
Chunxia Xiao, Meng Liu
HICSS
2000
IEEE
118views Biometrics» more  HICSS 2000»
13 years 10 months ago
Discourse Segmentation in Aid of Document Summarization
This paper describes work to enhance a sentencebased summarizer with notions of salience, dynamicallyadjustable summary size, discourse segmentation, and awareness of topic shifts...
Branimir Boguraev, Mary S. Neff
ICPR
2002
IEEE
14 years 6 months ago
Synergism in Low Level Vision
Guiding image segmentation with edge information is an often employed strategy in low level computer vision. To improve the trade-off between the sensitivity of homogeneous region...
Christopher M. Christoudias, Bogdan Georgescu, Pet...
CGF
2010
218views more  CGF 2010»
13 years 5 months ago
Mesh Snapping: Robust Interactive Mesh Cutting Using Fast Geodesic Curvature Flow
This paper considers the problem of interactively finding the cutting contour to extract components from a given mesh. Some existing methods support cuts of arbitrary shape but re...
Juyong Zhang, Chunlin Wu, Jianfei Cai, Jianmin Zhe...