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Image Retrieval by Local Evaluation of Nonlinear Kernel Functions around Salient Points
 

Summary: Image Retrieval by Local Evaluation of Nonlinear Kernel Functions around
Salient Points
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
Feature histograms based on the evaluation of Haar inte-
grals with nonlinear kernel functions were used successfully
for the purpose of invariant content based image retrieval.
In addition to being invariant to rotation and translation,
the features have the advantage of preserving structural in-
formation of the image. The work presented here concen-
trates on the idea of calculating these features by evaluat-
ing the kernel functions around a small set of preselected
points. These points are called the salient points and rep-
resent, together with their neighborhood, the most impor-
tant visual information in an image. The use of these salient
points leads to a better representation of the image. Com-

  

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

 

Collections: Computer Technologies and Information Sciences