DagSemProc.06311.1.pdf
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06311 Abstracts Collection – Sensor Data and Information Fusion in Computer Vision and Medicine
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Dagstuhl Seminar Proceedings, Volume 6311
Series: Dagstuhl Seminar Proceedings (DagSemProc) - License:
Creative Commons Attribution 4.0 International license
- Publication Date: 2007-01-12
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Joachim Denzler, Joachim Hornegger, Josef Kittler, and Calvin R. Maurer JR.. 06311 Abstracts Collection – Sensor Data and Information Fusion in Computer Vision and Medicine. In Sensor Data and Information Fusion in Computer Vision and Medicine. Dagstuhl Seminar Proceedings, Volume 6311, pp. 1-12, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2007)
https://doi.org/10.4230/DagSemProc.06311.1
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.
Subject Classification
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
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