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» On SIFTs and their scales
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ICIP
2010
IEEE
13 years 7 months ago
Comparison of local feature descriptors for mobile visual search
We evaluate the performance of MPEG-7 image signatures, Compressed Histogram of Gradients descriptor (CHoG) and Scale Invariant Feature Transform (SIFT) descriptors for mobile vis...
Vijay Chandrasekhar, David M. Chen, Andy Lin, Gabr...
ICIP
2010
IEEE
13 years 7 months ago
Font retrieval on a large scale: An experimental study
This paper addresses the problem of font retrieval using a query-by-example paradigm: given a font, retrieve the the most visually similar fonts. We describe a font by (a) renderi...
Saurabh Kataria, Luca Marchesotti, Florent Perronn...
ICRA
2008
IEEE
204views Robotics» more  ICRA 2008»
14 years 4 months ago
Active exploration and keypoint clustering for object recognition
— Object recognition is a challenging problem for artificial systems. This is especially true for objects that are placed in cluttered and uncontrolled environments. To challenge...
Gert Kootstra, Jelmer Ypma, Bart de Boer
CVPR
2009
IEEE
15 years 5 months ago
SIFT-Rank: Ordinal Description for Invariant Feature Correspondence
This paper investigates ordinal image description for invariant feature correspondence. Ordinal description is a meta-technique which considers image measurements in terms of th...
Matthew Toews, William M. Wells III
ICPR
2010
IEEE
13 years 8 months ago
FIND: A Neat Flip Invariant Descriptor
In this paper, we introduce a novel Flip INvariant Descriptor (FIND). FIND improves the degenerated performance resulted from image flips and reduces both space and time costs. F...
Xiaojie Guo, Xiaochun Cao