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» Image Compression using Object-Based Regions of Interest
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MICCAI
2009
Springer
16 years 3 months ago
Supervised Nonparametric Image Parcellation
Segmentation of medical images is commonly formulated as a supervised learning problem, where manually labeled training data are summarized using a parametric atlas. Summarizing th...
Mert R. Sabuncu, B. T. Thomas Yeo, Koen Van Leem...
141
Voted
ICIP
2010
IEEE
15 years 16 days ago
Explore multiple clues for urban images matching
Many well-known existing image matching methods are based on local texture analysis, and consequently have difficulty handling low-textured 3D objects, such as those man-made buil...
Quan Wang, Suya You
106
Voted
ICIP
2006
IEEE
16 years 4 months ago
Removing Redundancy in Multi-Resolution Scalable Video Coding Schemes
Nowadays standard technologies for spatially scalable video coding use Gaussian pyramidal approaches, that naturally lead to redundant descriptions after the temporal analysis. Ho...
Guillaume Boisson, Edouard François
144
Voted
IVC
2010
289views more  IVC 2010»
15 years 1 months ago
Automatic 3D object segmentation in multiple views using volumetric graph-cuts
We propose an algorithm for automatically obtaining a segmentation of a rigid object in a sequence of images that are calibrated for camera pose and intrinsic parameters. Until re...
Neill D. F. Campbell, George Vogiatzis, Carlos Her...
123
Voted
TIP
2008
144views more  TIP 2008»
15 years 2 months ago
Incremental Refinement of Image Salient-Point Detection
Low-level image analysis systems typically detect "points of interest", i.e., areas of natural images that contain corners or edges. Most of the robust and computationall...
Yiannis Andreopoulos, Ioannis Patras