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» Performance Evaluation of Robust Matching Measures
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ICCV
2009
IEEE
1821views Computer Vision» more  ICCV 2009»
15 years 12 days ago
Feature Correspondence and Deformable Object Matching via Agglomerative Correspondence Clustering
We present an efficient method for feature correspondence and object-based image matching, which exploits both photometric similarity and pairwise geometric consistency from local ...
Minsu Cho (Seoul National University), Jungmin Lee...
ICRA
2009
IEEE
165views Robotics» more  ICRA 2009»
14 years 2 months ago
A visual odometry framework robust to motion blur
— Motion blur is a severe problem in images grabbed by legged robots and, in particular, by small humanoid robots. Standard feature extraction and tracking approaches typically f...
Alberto Pretto, Emanuele Menegatti, Maren Bennewit...
ICRA
2006
IEEE
109views Robotics» more  ICRA 2006»
14 years 1 months ago
Robust Statistics for 3D Object Tracking
Abstract— This paper focuses on methods that enhance performance of a model based 3D object tracking system. Three statistical methods and an improved edge detector are discussed...
Peter Preisig, Danica Kragic
EMMCVPR
2011
Springer
12 years 7 months ago
Optimization of Robust Loss Functions for Weakly-Labeled Image Taxonomies: An ImageNet Case Study
The recently proposed ImageNet dataset consists of several million images, each annotated with a single object category. However, these annotations may be imperfect, in the sense t...
Julian John McAuley, Arnau Ramisa, Tibério ...
ICDM
2002
IEEE
448views Data Mining» more  ICDM 2002»
14 years 17 days ago
Feature Selection Algorithms: A Survey and Experimental Evaluation
In view of the substantial number of existing feature selection algorithms, the need arises to count on criteria that enables to adequately decide which algorithm to use in certai...
Luis Carlos Molina, Lluís Belanche, À...