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» Application of Level Set Methods in Computer Vision
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VISSYM
2003
13 years 9 months ago
A Robust Level-Set Algorithm for Centerline Extraction
We present a robust method for extracting 3D centerlines from volumetric datasets. We start from a 2D skeletonization method to locate voxels centered with respect to three orthog...
Alexandru Telea, Anna Vilanova
IPPS
2007
IEEE
14 years 1 months ago
Self Adaptive Application Level Fault Tolerance for Parallel and Distributed Computing
Most application level fault tolerance schemes in literature are non-adaptive in the sense that the fault tolerance schemes incorporated in applications are usually designed witho...
Zizhong Chen, Ming Yang, Guillermo A. Francia III,...
ICCV
2007
IEEE
14 years 9 months ago
Using High-Level Visual Information for Color Constancy
We propose to use high-level visual information to improve illuminant estimation. Several illuminant estimation approaches are applied to compute a set of possible illuminants. Fo...
Joost van de Weijer, Cordelia Schmid, Jakob J. Ver...
ICDAR
2009
IEEE
13 years 5 months ago
Restoration and Segmentation of Highly Degraded Characters Using a Shape-Independent Level Set Approach and Multi-level Classifi
Segmentation of ancient documents is challenging. In the worst cases, text characters become fragmented as the results of strong degradation processes. New active contour methods ...
Reza Farrahi Moghaddam, David Rivest-Hénaul...
CVPR
2007
IEEE
14 years 9 months ago
Regularized Mixed Dimensionality and Density Learning in Computer Vision
A framework for the regularized estimation of nonuniform dimensionality and density in high dimensional data is introduced in this work. This leads to learning stratifications, th...
Gloria Haro, Gregory Randall, Guillermo Sapiro