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» Local Feature Matching Using Entropic Graphs
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CVPR
2006
IEEE
14 years 10 months ago
Multiclass Object Recognition with Sparse, Localized Features
We apply a biologically inspired model of visual object recognition to the multiclass object categorization problem. Our model modifies that of Serre, Wolf, and Poggio. As in that...
Jim Mutch, David G. Lowe
IJRR
2002
218views more  IJRR 2002»
13 years 7 months ago
Mobile Robot Localization and Mapping with Uncertainty using Scale-Invariant Visual Landmarks
A key component of a mobile robot system is the ability to localize itself accurately and, simultaneously, to build a map of the environment. Most of the existing algorithms are b...
Stephen Se, David G. Lowe, James J. Little
ICRA
2003
IEEE
164views Robotics» more  ICRA 2003»
14 years 1 months ago
Mobile robot self-localization based on global visual appearance features
This paper presents a novel method for mobile robot localization using visual appearance features. A multidimensional-histogram is used to describe the global appearance features ...
Chao Zhou, Yucheng Wei, Tieniu Tan
ICCV
2005
IEEE
14 years 9 months ago
Local Features for Object Class Recognition
In this paper we compare the performance of local detectors and descriptors in the context of object class recognition. Recently, many detectors / descriptors have been evaluated ...
Krystian Mikolajczyk, Bastian Leibe, Bernt Schiele
CVPR
2007
IEEE
14 years 10 months ago
Beyond Local Appearance: Category Recognition from Pairwise Interactions of Simple Features
We present a discriminative shape-based algorithm for object category localization and recognition. Our method learns object models in a weakly-supervised fashion, without requiri...
Marius Leordeanu, Martial Hebert, Rahul Sukthankar