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» Classification Using Geometric Level Sets
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JVCIR
2010
180views more  JVCIR 2010»
13 years 6 months ago
Geometric attraction-driven flow for image segmentation and boundary detection
Noble forces in image segmentation based on active contours models are proposed for capturing objects in the image. Contemplating the common functionality of forces in previous ac...
Jooyoung Hahn, Chang-Ock Lee
ICPR
2010
IEEE
13 years 12 months ago
Symbol Classification Using Dynamic Aligned Shape Descriptor
Shape representation is a difficult task because of several symbol distortions, such as occlusions, elastic deformations, gaps or noise. In this paper, we propose a new descriptor ...
Alicia Fornés, Sergio Escalera, Josep Llados, Ern...
CIVR
2008
Springer
138views Image Analysis» more  CIVR 2008»
13 years 9 months ago
MyPlaces: detecting important settings in a visual diary
We describe a novel approach to identifying specific settings in large collections of passively captured images corresponding to a visual diary. An algorithm developed for setting...
Michael Blighe, Noel E. O'Connor
VIS
2006
IEEE
157views Visualization» more  VIS 2006»
14 years 8 months ago
Analyzing Complex FTMS Simulations: a Case Study in High-Level Visualization of Ion Motions
Current practice in particle visualization renders particle position data directly onto the screen as points or glyphs. Using a camera placed at a fixed position, particle motions...
Wojciech Burakiewicz, Robert van Liere
CVPR
2009
IEEE
1096views Computer Vision» more  CVPR 2009»
15 years 2 months ago
How far can you get with a modern face recognition test set using only simple features?
In recent years, large databases of natural images have become increasingly popular in the evaluation of face and object recognition algorithms. However, Pinto et al. previously ...
Nicolas Pinto, James J. DiCarlo, David D. Cox