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URN: urn:nbn:de:0030-drops-18668
URL: http://drops.dagstuhl.de/opus/volltexte/2009/1866/
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Hegazy, Doaa ; Denzler, Joachim

Generic Object Recognition

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Abstract

The object recognition problem has challenged the computer vision community for long time due to the huge change in the scale, occlusion and lighting conditions which have a great effect on the appearance of the objects. The problem of generic object recognition (GOR) has the previously mentioned difficulties in addition to the intra-class and inter-class variability problems. Despite the difficulties of the generic object recognition problem many approaches appeared trying to provide a solution to this problem. We present our model for 2D generic object recognition which achieves good performance on difficult object category datasets. Moreover, we present a model for generic 3D object recognition from range images.

BibTeX - Entry

@InProceedings{hegazy_et_al:DSP:2009:1866,
  author =	{Doaa Hegazy and Joachim Denzler},
  title =	{Generic Object Recognition},
  booktitle =	{Computer Vision in Camera Networks for Analyzing Complex Dynamic Natural  Scenes},
  year =	{2009},
  editor =	{Joachim Denzler and Michael Koch},
  publisher =	{Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, Germany},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2009/1866},
  annote =	{Keywords: Generic object recognition, Boosting, Range images},
}

Keywords: Generic object recognition, Boosting, Range images
Seminar: 08422 - Klausurtagung Lehrstuhl Joachim Denzler
Issue Date: 2009
Date of publication: 29.01.2009

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