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MICCAI
2007
Springer
14 years 8 months ago
Deformable Density Matching for 3D Non-rigid Registration of Shapes
There exists a large body of literature on shape matching and registration in medical image analysis. However, most of the previous work is focused on matching particular sets of f...
Arunabha S. Roy, Ajay Gopinath, Anand Rangarajan
ICCV
2007
IEEE
14 years 9 months ago
How Good are Local Features for Classes of Geometric Objects
Recent work in object categorization often uses local image descriptors such as SIFT to learn and detect object categories. Such descriptors explicitly code local appearance and h...
Michael Stark, Bernt Schiele
ICDM
2006
IEEE
135views Data Mining» more  ICDM 2006»
14 years 1 months ago
SAXually Explicit Images: Finding Unusual Shapes
Among the visual features of multimedia content, shape is of particular interest because humans can often recognize objects solely on the basis of shape. Over the past three decad...
Li Wei, Eamonn J. Keogh, Xiaopeng Xi
CVPR
2008
IEEE
14 years 9 months ago
Sparsity, redundancy and optimal image support towards knowledge-based segmentation
In this paper, we propose a novel approach to model shape variations. It encodes sparsity, exploits geometric redundancy, and accounts for the different degrees of local variation...
Salma Essafi, Georg Langs, Nikos Paragios
CVRMED
1997
Springer
13 years 11 months ago
Volumetric medical images segmentation using shape constrained deformable models
In this paper we address the problem of extracting geometric models from low contrast volumetric images, given a template or reference shape of that model. We proceed by deforming...
Johan Montagnat, Hervé Delingette