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» Shapes as empirical distributions
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CVPR
2008
IEEE
15 years 12 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
75
Voted
ICDAR
2003
IEEE
15 years 3 months ago
Writer Identification from Gray Level Distribution
When identifying a writer from a handwritten text, most often, either some characteristic patterns or some shape parameters are extracted. They are assumed to be specific of the w...
M. Wirotius, Audrey Seropian, Nicole Vincent
CAIP
1995
Springer
137views Image Analysis» more  CAIP 1995»
15 years 1 months ago
Extending the Point Distribution Model Using Polar Coordinates
The Point Distribution Model (PDM) has already proved useful for many tasks involving the location or tracking of deformable objects. A principal limitation lies in the fact that n...
Tony Heap, David Hogg
IPPS
2006
IEEE
15 years 3 months ago
Selecting the tile shape to reduce the total communication volume
In this paper we revisit the tile-shape selection problem, that has been extensively discussed in bibliography. An efficient approach is proposed for the selection of a suitable t...
Nikolaos Drosinos, Georgios I. Goumas, Nectarios K...
BMVC
2010
14 years 7 months ago
Segmentation using Deformable Spatial Priors with Application to Clothing
We present a method for segmenting the parts of multiple instances of a known object category exhibiting large variations in projected shape and colour. The method builds on an ex...
Basela Hasan, David Hogg