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3DOR
2008
15 years 4 days ago
Markov Random Fields for Improving 3D Mesh Analysis and Segmentation
Mesh analysis and clustering have became important issues in order to improve the efficiency of common processing operations like compression, watermarking or simplification. In t...
Guillaume Lavoué, Christian Wolf
DAS
2008
Springer
14 years 11 months ago
Difference of Boxes Filters Revisited: Shadow Suppression and Efficient Character Segmentation
A robust segmentation is the most important part of an automatic character recognition system (e.g. document processing, license plate recognition etc.). In our contribution we pr...
Erik Rodner, Herbert Süße, Wolfgang Ort...
MVA
1996
100views Computer Vision» more  MVA 1996»
14 years 11 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
VIS
2004
IEEE
166views Visualization» more  VIS 2004»
15 years 11 months ago
Centroidal Voronoi Tessellation Based Algorithms for Vector Fields Visualization and Segmentation
A new method for the simplification and the visualization of vector fields is presented based on the notion of Centroidal Voronoi tessellations (CVT's). A CVT is a special Vo...
Qiang Du, Xiaoqiang Wang
ICIP
2008
IEEE
15 years 4 months ago
Time-sequential extraction of motion layers
A new time-sequential approach for motion layer extraction is presented. We assume that the scene can be described by a set of layers associated to affine motion models. In one o...
Matthieu Fradet, Patrick Pérez, Philippe Ro...