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» Segmented Iterators and Hierarchical Algorithms
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CVPR
2009
IEEE
1666views Computer Vision» more  CVPR 2009»
16 years 5 months ago
From Contours to Regions: An Empirical Evaluation
We propose a generic grouping algorithm that constructs a hierarchy of regions from the output of any contour detector. Our method consists of two steps, an Oriented Watershed Tran...
Pablo Arbelaez, Michael Maire, Charless C. Fowlkes...
ICIP
2008
IEEE
15 years 11 months ago
Conditional iterative decoding of Two Dimensional Hidden Markov Models
Two Dimensional Hidden Markov Models (2D-HMMs) provide substantial benefits for many computer vision and image analysis applications. Many fundamental image analysis problems, inc...
Mehmet Emre Sargin, Alphan Altinok, Kenneth Rose, ...
DCC
2002
IEEE
15 years 9 months ago
Iterated Denoising for Image Recovery
In this paper we propose an algorithm for image recovery where completely lost blocks in an image/video-frame are recovered using spatial information surrounding these blocks. Our...
Onur G. Guleryuz
81
Voted
CVPR
2005
IEEE
15 years 11 months ago
Shape Regularized Active Contour Using Iterative Global Search and Local Optimization
Recently, nonlinear shape models have been shown to improve the robustness and flexibility of segmentation. In this paper, we propose Shape Regularized Active Contour (ShRAC) that...
Tianli Yu, Jiebo Luo, Narendra Ahuja
HPDC
2012
IEEE
13 years 2 days ago
Work stealing and persistence-based load balancers for iterative overdecomposed applications
Applications often involve iterative execution of identical or slowly evolving calculations. Such applications require incremental rebalancing to improve load balance across itera...
Jonathan Lifflander, Sriram Krishnamoorthy, Laxmik...