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» Application of Level Set Methods in Computer Vision
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ICCPOL
2009
Springer
15 years 5 months ago
A Simple and Efficient Model Pruning Method for Conditional Random Fields
Conditional random fields (CRFs) have been quite successful in various machine learning tasks. However, as larger and larger data become acceptable for the current computational ma...
Hai Zhao, Chunyu Kit
JVCA
2008
73views more  JVCA 2008»
15 years 7 months ago
A unified handling of immiscible and miscible fluids
Conventional level set based approaches have an inherent difficulty in tracking miscible fluids due to its discrete treatment for interface. This paper proposes a unified framewor...
Jinho Park, Younghui Kim, Daehyeon Wi, Nahyup Kang...
TIP
2008
344views more  TIP 2008»
15 years 7 months ago
A Self-Organizing Approach to Background Subtraction for Visual Surveillance Applications
Detection of moving objects in video streams is the first relevant step of information extraction in many computer vision applications. Aside from the intrinsic usefulness of being...
Lucia Maddalena, Alfredo Petrosino
TVCG
2010
157views more  TVCG 2010»
15 years 5 months ago
Crease Surfaces: From Theory to Extraction and Application to Diffusion Tensor MRI
—Crease surfaces are two-dimensional manifolds along which a scalar field assumes a local maximum (ridge) or a local minimum (valley) in a constrained space. Unlike isosurfaces, ...
Thomas Schultz, Holger Theisel, Hans-Peter Seidel
CVPR
2005
IEEE
16 years 9 months ago
A Tensor Decomposition for Geometric Grouping and Segmentation
While spectral clustering has been applied successfully to problems in computer vision, their applicability is limited to pairwise similarity measures that form a probability matr...
Venu Madhav Govindu