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» Objective Functions for Feature Discrimination
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115
Voted
SMC
2010
IEEE
132views Control Systems» more  SMC 2010»
15 years 1 months ago
Selection of SIFT feature points for scene description in robot vision
This paper presents a method for selection of SIFT(Scale-Invariant Feature Transform) feature points using OC-SVM (One Class-Support Vector Machines). We proposed the method for au...
Yuya Utsumi, Masahiro Tsukada, Hirokazu Madokoro, ...
CVPR
2004
IEEE
16 years 4 months ago
Flexible Spatial Models for Grouping Local Image Features
A key step for the effective use of local image features (i.e., highly distinctive and robust features) for recognition or image matching is the appropriate grouping of feature ma...
Gustavo Carneiro, Allan D. Jepson
ICIP
2009
IEEE
16 years 3 months ago
Face Recognition With Salient Local Gradient Orientation Binary Patterns
This paper proposes a new face recognition method. There are two novelties in the proposed method. First, a new saliency measure function is designed to detect the most salient re...
96
Voted
FLAIRS
1998
15 years 4 months ago
Detecting Motion in Single Images Using ALISA
Motionanalysis often relies on differencing operations that inherently amplify noise and are hindered by the spatial correspondenceproblem.Analternative approach is proposedusing ...
Taras P. Riopka, Peter Bock
110
Voted
EDBT
2006
ACM
116views Database» more  EDBT 2006»
16 years 2 months ago
VICO: Visualizing Connected Object Orderings
In modern databases, complex objects like multimedia data, proteins or text objects can be modeled in a variety of representations and can be decomposed into multiple instances of ...
Stefan Brecheisen, Hans-Peter Kriegel, Matthias Sc...