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» Stochastic Image Segmentation by Typical Cuts
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ICDAR
2009
IEEE
13 years 5 months ago
Stochastic Segment Modeling for Offline Handwriting Recognition
In this paper, we present a novel approach for incorporating structural information into the hidden Markov Modeling (HMM) framework for offline handwriting recognition. Traditiona...
Premkumar Natarajan, Krishna Subramanian, Anurag B...
ECCV
2010
Springer
14 years 20 days ago
Adaptive Regularization for Image Segmentation Using Local Image Curvature Cues
Abstract. Image segmentation techniques typically require proper weighting of competing data fidelity and regularization terms. Conventionally, the associated parameters are set t...
SCIA
2009
Springer
261views Image Analysis» more  SCIA 2009»
13 years 12 months ago
Dense and Deformable Motion Segmentation for Wide Baseline Images
In this paper we describe a dense motion segmentation method for wide baseline image pairs. Unlike many previous methods our approach is able to deal with deforming motions and lar...
Juho Kannala, Esa Rahtu, Sami S. Brandt, Janne Hei...

Publication
200views
12 years 6 months ago
Tracking Endocardial Motion via Multiple Model Filtering of Distribution Cut
Tracking heart motion plays an essential role in the diagnosis of cardiovascular diseases. As such, accurate characterization of dynamic behavior of the left ventricle (LV) is esse...
Kumaradevan Punithakumar, Ismail Ben Ayed, Ali Isl...
PAMI
2010
112views more  PAMI 2010»
13 years 5 months ago
Polynomial Time Algorithms for Ratio Regions and a Variant of Normalized Cut
—In partitioning, clustering, and grouping problems, a typical goal is to group together similar objects, or pixels in the case of image processing. At the same time, another goa...
Dorit S. Hochbaum