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ECCV
2008
Springer
14 years 10 months ago
Feature Correspondence Via Graph Matching: Models and Global Optimization
Abstract. In this paper we present a new approach for establishing correspondences between sparse image features related by an unknown non-rigid mapping and corrupted by clutter an...
Lorenzo Torresani, Vladimir Kolmogorov, Carsten Ro...
CGF
2010
112views more  CGF 2010»
13 years 9 months ago
Winding Roads: Routing edges into bundles
Visualizing graphs containing many nodes and edges efficiently is quite challenging. Drawings of such graphs generally suffer from visual clutter induced by the large amount of ed...
A. Lambert, Romain Bourqui, David Auber
ICPR
2008
IEEE
14 years 10 months ago
Object localization using affine invariant substructure constraints
In this paper we propose a novel method for generic object localization. The method is based on modeling the object as a graph at two levels: a local substructural representation ...
Ahmed M. Elgammal, Ishani Chakraborty
SOUPS
2009
ACM
14 years 3 months ago
Machine learning attacks against the Asirra CAPTCHA
The ASIRRA CAPTCHA [6], recently proposed at ACM CCS 2007, relies on the problem of distinguishing images of cats and dogs (a task that humans are very good at). The security of AS...
Philippe Golle
GBRPR
2007
Springer
14 years 3 months ago
Matching of Tree Structures for Registration of Medical Images
Many medical applications require a registration of different images of the same organ. In many cases, such a registration is accomplished by manually placing landmarks in the ima...
Jan Hendrik Metzen, Tim Kröger, Andrea Schenk...