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178
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MICCAI
2009
Springer
16 years 1 months ago
On the Manifold Structure of the Space of Brain Images
This paper investigates an approach to model the space of brain images through a low-dimensional manifold. A data driven method to learn a manifold from a collections of brain imag...
Samuel Gerber, Tolga Tasdizen, Sarang C. Joshi, Ro...
ICIP
2007
IEEE
16 years 12 days ago
Graph Cut Segmentation with Nonlinear Shape Priors
Graph cut image segmentation with intensity information alone is prone to fail for objects with weak edges, in clutter, or under occlusion. Existing methods to incorporate shape a...
James G. Malcolm, Yogesh Rathi, Allen Tannenbaum
213
Voted
BMVC
2010
15 years 4 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
182
Voted
ECCV
2004
Springer
16 years 8 months ago
Unlevel-Sets: Geometry and Prior-Based Segmentation
We present a novel variational approach to top-down image segmentation, which accounts for significant projective transformations between a single prior image and the image to be s...
Tammy Riklin-Raviv, Nahum Kiryati, Nir A. Sochen
IJCV
2007
189views more  IJCV 2007»
15 years 6 months ago
Prior-based Segmentation and Shape Registration in the Presence of Perspective Distortion
Challenging object detection and segmentation tasks can be facilitated by the availability of a reference object. However, accounting for possible transformations between the diff...
Tammy Riklin-Raviv, Nahum Kiryati, Nir A. Sochen