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» Shape-Based Level Set Method for Image Segmentation
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ICPR
2000
IEEE
15 years 10 months ago
Robust Localization Using Panoramic View-Based Recognition
The results of recent studies on the possibility of spatial localization from panoramic images have shown good prospects for view-based methods. The major advantages of these meth...
Matjaz Jogan, Ales Leonardis
3DPVT
2004
IEEE
153views Visualization» more  3DPVT 2004»
15 years 1 months ago
Surface Reconstruction from the Projection of Points, Curves and Contours
In this paper the problem of building and reconstructing geometrical surface models from multiple calibrated images is considered. We build an appropriate statistical 3D model fro...
Jan Erik Solem, Fredrik Kahl
MIAR
2006
IEEE
15 years 3 months ago
Improved Shape Modeling of Tubular Objects Using Cylindrical Parameterization
Statistical shape modeling is widely used for medical image segmentation and interpretation. The main problem in building a shape model is the construction of a pointwise correspon...
Toon Huysmans, Jan Sijbers, Filiep Vanpoucke, Brig...
ICASSP
2011
IEEE
14 years 1 months ago
Modeling anatomical heterogeneity in populations
Our goal is to model anatomical variability across individuals, which presents substantial challenges in clinical population studies and in building atlases for segmentation. Base...
Polina Golland, Mert R. Sabuncu
KDD
2012
ACM
205views Data Mining» more  KDD 2012»
13 years 5 days ago
Rank-loss support instance machines for MIML instance annotation
Multi-instance multi-label learning (MIML) is a framework for supervised classification where the objects to be classified are bags of instances associated with multiple labels....
Forrest Briggs, Xiaoli Z. Fern, Raviv Raich