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» Deformable-Model Based Textured Object Segmentation
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SIAMIS
2010
116views more  SIAMIS 2010»
13 years 4 months ago
Higher-Order Feature-Preserving Geometric Regularization
We introduce two fourth-order regularization methods that remove geometric noise without destroying significant geometric features. These methods leverage ideas from image denoisi...
Marc Droske, Andrea Bertozzi
SAC
2003
ACM
13 years 11 months ago
Image Retrieval With Embedded Region Relationships
Image retrieval based on content from digital libraries, multimedia databases, the Internet, and other sources has been an important problem addressed by several researchers. In t...
Sharat Chandran, Naga Kiran
ICPR
2008
IEEE
14 years 7 months ago
Joint visual vocabulary for animal classification
This paper presents a method for visual object categorization based on encoding the joint textural information in objects and the surrounding background, and requiring no segmenta...
Alireza Tavakoli Targhi, Andrzej Pronobis, Heydar ...
ICIP
2007
IEEE
14 years 7 months ago
Modeling of Front Evolution with Graph Cut Optimization
In this paper, we present a novel active contour model, in which the traditional gradient descent optimization is replaced by graph cut optimization. The basic idea is to first de...
Hang Chang, Qing Yang, Manfred Auer, Bahram Parvin
CVGIP
2000
124views more  CVGIP 2000»
13 years 6 months ago
Hierarchical Solutions for the Deformable Surface Problem in Visualization
In this paper we present a hierarchical approach for the deformable surface technique. This technique is a three dimensional extension of the snake segmentation method. We use it ...
Christoph Lürig, Leif Kobbelt, Thomas Ertl