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» Invariant Features from Interest Point Groups
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CVPR
2008
IEEE
14 years 9 months ago
Graph commute times for image representation
We introduce a new image representation that encompasses both the general layout of groups of quantized local invariant descriptors as well as their relative frequency. A graph of...
Nikos Paragios, Regis Behmo, Véronique Prin...
ISVC
2010
Springer
13 years 6 months ago
How to Overcome Perceptual Aliasing in ASIFT?
SIFT is one of the most popular algorithms to extract points of interest from images. It is a scale+rotation invariant method. As a consequence, if one compares points of interest ...
Nicolas Noury, Frédéric Sur, Marie-O...
IVC
2000
113views more  IVC 2000»
13 years 7 months ago
Matching disparate views of planar surfaces using projective invariants
Feature matching is a prerequisite to a wide variety of vision tasks. This paper presents a method that addresses the problem of matching disparate views of coplanar points and li...
Manolis I. A. Lourakis, Spyros T. Halkidis, Stelio...
ICDE
2008
IEEE
126views Database» more  ICDE 2008»
14 years 1 months ago
Monitoring the evolution of interests in the blogosphere
— We describe blogTrust, an innovative modular and extensible prototype application for monitoring changes in the interests of blogosphere participants. We also propose a new app...
Iraklis Varlamis, Vasilis Vassalos, Antonis Palaio...
ADC
2007
Springer
170views Database» more  ADC 2007»
14 years 1 months ago
Pruning SIFT for Scalable Near-duplicate Image Matching
The detection of image versions from large image collections is a formidable task as two images are rarely identical. Geometric variations such as cropping, rotation, and slight p...
Jun Jie Foo, Ranjan Sinha