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122
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ECCV
2006
Springer
16 years 4 months ago
Learning to Combine Bottom-Up and Top-Down Segmentation
Bottom-up segmentation based only on low-level cues is a notoriously difficult problem. This difficulty has lead to recent top-down segmentation algorithms that are based on class-...
Anat Levin, Yair Weiss
107
Voted
ICIP
2003
IEEE
16 years 4 months ago
Distributed image compression for sensor networks using correspondence analysis and super-resolution
We outline a distributed codingtechnique for images captured from sensors with overlapping fields of view in a sensor network. First, images from correlated views are roughly regi...
R. Wagner, Robert D. Nowak, Richard G. Baraniuk
102
Voted
ICIP
2000
IEEE
16 years 4 months ago
Objective Evaluation of Relative Segmentation Quality
When working in image and video segmentation, the major objective is to design an algorithm producing the appropriate segmentation results for the particular goals of the applicat...
Paulo Correia, Fernando Pereira
113
Voted
VIS
2007
IEEE
144views Visualization» more  VIS 2007»
16 years 3 months ago
Enhancing Depth-Perception with Flexible Volumetric Halos
Volumetric data commonly has high depth complexity which makes it difficult to judge spatial relationships accurately. There are many different ways to enhance depth perception, su...
Stefan Bruckner, M. Eduard Gröller
141
Voted
ICPR
2008
IEEE
16 years 3 months ago
EK-SVD: Optimized dictionary design for sparse representations
Sparse representations using overcomplete dictionaries are used in a variety of field such as pattern recognition and compression. However, the size of dictionary is usually a tra...
Raazia Mazhar, Paul D. Gader