Home

About

Advanced Search

Browse by Discipline

Scientific Societies

E-print Alerts

Add E-prints

E-print Network
FAQHELPSITE MAPCONTACT US


  Advanced Search  

 
On Using Histograms of Local Invariant Features for Image Retrieval Alaa Halawani and Hans Burkhardt
 

Summary: On Using Histograms of Local Invariant Features for Image Retrieval
Alaa Halawani and Hans Burkhardt
Albert-Ludwigs-University of Freiburg
Chair of Pattern Recognition and Image Processing
79110 Freiburg, Germany
{halawani|burkhardt}@informatik.uni-freiburg.de
Abstract
In this paper we employ different methods for construct-
ing histograms from invariant features that are computed
locally around a set of salient points. These points repre-
sent, together with their neighborhood, the most important
visual information in an image. The features used for con-
structing the histograms are evaluations of Haar integrals
with nonlinear kernel functions. The resulting histograms
are able to preserve the local structure of the image in addi-
tion to the fact that they are invariant to Euclidean motion.
We study and compare the performance of the different his-
togram construction methods for a database that consists
of 15000 images.
1 Introduction

  

Source: Albert-Ludwigs-Universität Freiburg, Institut für Informatik,, Lehrstuhls für Mustererkennung und Bildverarbeitung

 

Collections: Computer Technologies and Information Sciences