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IJCV
2008
241views more  IJCV 2008»
15 years 4 months ago
Object Class Recognition and Localization Using Sparse Features with Limited Receptive Fields
We investigate the role of sparsity and localized features in a biologically-inspired model of visual object classification. As in the model of Serre, Wolf, and Poggio, we first a...
Jim Mutch, David G. Lowe
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IJCV
2008
102views more  IJCV 2008»
15 years 4 months ago
Modeling the World from Internet Photo Collections
Abstract There are billions of photographs on the Internet, comprising the largest and most diverse photo collection ever assembled. How can computer vision researchers exploit thi...
Noah Snavely, Steven M. Seitz, Richard Szeliski
CGF
2005
184views more  CGF 2005»
15 years 4 months ago
Re-coloring Images for Gamuts of Lower Dimension
Color images have a gamut that typically spans three dimensions. Nevertheless, several important applications, such as the creation of grayscale images for printing and the re-col...
Karl Rasche, Robert Geist, James Westall
KAIS
2007
75views more  KAIS 2007»
15 years 4 months ago
Non-redundant data clustering
Data clustering is a popular approach for automatically finding classes, concepts, or groups of patterns. In practice this discovery process should avoid redundancies with existi...
David Gondek, Thomas Hofmann
IJCV
2000
149views more  IJCV 2000»
15 years 4 months ago
Recognition without Correspondence using Multidimensional Receptive Field Histograms
The appearance of an object is composed of local structure. This local structure can be described and characterized by a vector of local features measured by local operators such a...
Bernt Schiele, James L. Crowley
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