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» Object Recognition from Local Scale-Invariant Features
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ACIVS
2008
Springer
15 years 9 months ago
"Local Rank Differences" Image Feature Implemented on GPU
A currently popular trend in object detection and pattern recognition is usage of statistical classifiers, namely AdaBoost and its modifications. The speed performance of these cla...
Lukás Polok, Adam Herout, Pavel Zemcí...
ICPR
2004
IEEE
16 years 4 months ago
Support Vector Machine with Local Summation Kernel for Robust Face Recognition
This paper presents Support Vector Machine (SVM) with local summation kernel for robust face recognition. In recent years, the effectiveness of SVM and local features is reported....
Kazuhiro Hotta
MM
2010
ACM
462views Multimedia» more  MM 2010»
15 years 3 months ago
KPB-SIFT: a compact local feature descriptor
Invariant feature descriptors such as SIFT and GLOH have been demonstrated to be very robust for image matching and object recognition. However, such descriptors are typically of ...
Gangqiang Zhao, Ling Chen, Gencai Chen, Junsong Yu...
IBPRIA
2007
Springer
15 years 9 months ago
Motion Segmentation from Feature Trajectories with Missing Data
Abstract. This paper presents a novel approach for motion segmentation from feature trajectories with missing data. It consists of two stages. In the first stage, missing data are...
Carme Julià, Angel Domingo Sappa, Felipe Lu...
127
Voted
IJCV
1998
105views more  IJCV 1998»
15 years 3 months ago
Robust Algorithms for Object Localization
Object localization using sensed data features and corresponding model features is a fundamental problem in machine vision. We reformulate object localization as a least squares p...
Aaron S. Wallack, Dinesh Manocha