License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagSemProc.06311.1
URN: urn:nbn:de:0030-drops-8552
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2007/855/
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Denzler, Joachim ; Hornegger, Joachim ; Kittler, Josef ; Maurer JR., Calvin R.

06311 Abstracts Collection -- Sensor Data and Information Fusion in Computer Vision and Medicine

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06311_abstracts_collection.855.pdf (0.2 MB)

Abstract

From 30.07.06 to 04.08.06, the Dagstuhl Seminar 06311 ``Sensor Data and Information Fusion in Computer Vision and Medicine'' was held
in the International Conference and Research Center (IBFI),
Schloss Dagstuhl.
Sensor data fusion is of increasing importance for many
research fields and applications. Multi-modal imaging
is routine in medicine, and in robitics it is
common to use multi-sensor data fusion.
During the seminar, researchers and application experts
working in the field of sensor data
fusion presented their current
research, and ongoing work and open problems were discussed.
Abstracts of the presentations given during
the seminar as well as abstracts of seminar
results and ideas are put together in this paper.
The first section describes the seminar topics and goals in general.
The second part briefly summarizes the contributions.

BibTeX - Entry

@InProceedings{denzler_et_al:DagSemProc.06311.1,
  author =	{Denzler, Joachim and Hornegger, Joachim and Kittler, Josef and Maurer JR., Calvin R.},
  title =	{{06311 Abstracts Collection – Sensor Data and Information Fusion in Computer Vision and Medicine}},
  booktitle =	{Sensor Data and Information Fusion in Computer Vision and Medicine},
  pages =	{1--12},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2007},
  volume =	{6311},
  editor =	{Joachim Denzler and Joachim Hornegger and Josef Kittler and Calvin R. Maurer JR},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2007/855},
  URN =		{urn:nbn:de:0030-drops-8552},
  doi =		{10.4230/DagSemProc.06311.1},
  annote =	{Keywords: multi-sensor fusion, multi-modal perception, multiple expert fusion, fusion paradigms, multi-modal and intra-modal experts, non-rigid registration, human robot interaction, attention systems, computer vision, image processing, medical image analysis, multi-modal tissue classification, intensity correction, real-time tracking, non-parmetric density estimation, assignment problem, artificial voice}
}

Keywords: multi-sensor fusion, multi-modal perception, multiple expert fusion, fusion paradigms, multi-modal and intra-modal experts, non-rigid registration,
Freie Schlagwörter (deutsch): human robot interaction, attention systems, computer vision, image processing, medical image analysis, multi-modal tissue classification, intensity
Freie Schlagwörter (englisch): correction, real-time tracking, non-parmetric density estimation, assignment problem, artificial voice
Collection: 06311 - Sensor Data and Information Fusion in Computer Vision and Medicine
Issue Date: 2007
Date of publication: 12.01.2007

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