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» Normalized Cuts and Image Segmentation
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96
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MICCAI
2007
Springer
16 years 1 months ago
MCMC Curve Sampling for Image Segmentation
Abstract. We present an algorithm to generate samples from probability distributions on the space of curves. We view a traditional curve evolution energy functional as a negative l...
Ayres C. Fan, John W. Fisher III, William M. Wells...
106
Voted
SMI
2006
IEEE
134views Image Analysis» more  SMI 2006»
15 years 6 months ago
Evolution of T-Spline Level Sets with Distance Field Constraints for Geometry Reconstruction and Image Segmentation
We study the evolution of T-spline level sets (i.e, implicitly defined T-spline curves and surfaces). The use of T-splines leads to a sparse representation of the geometry and al...
Huaiping Yang, Matthias Fuchs, Bert Jüttler, ...
ICARCV
2006
IEEE
164views Robotics» more  ICARCV 2006»
15 years 6 months ago
Fast Object Extraction from Bayesian Occupancy Grids using Self Organizing Networks
— Despite their popularity, occupancy grids cannot be directly applied to problems where the identity of the objects populating an environment needs to be taken into account (eg ...
Dizan Vasquez, Fabrizio Romanelli, Thierry Fraicha...
ICIP
2001
IEEE
16 years 2 months ago
A new efficient algorithm for fitting of rectangles and squares
In this paper, we introduce a completely new approach to fitting rectangles and squares to given closed regions using our published ideas in [6], [7], [8]. In these papers, we hav...
Herbert Süße, Klaus Voss
95
Voted
MVA
1996
100views Computer Vision» more  MVA 1996»
15 years 1 months ago
Range Data Segmentation with Principal Vectors and Surface Types
A new method for segmenting range data including curved surfaceisproposed.Themethod isbasedonrobust principal vectors calculation using ISL-primary-axis method. First a normal vec...
Takashi Yoshimi, Yoshihiro Kawai, Fumiaki Tomita