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06311 Executive Summary – Sensor Data and Information Fusion in Computer Vision and Medicine Denzler, Joachim Hornegger, Joachim Kittler, Josef Maurer JR., Calvin R. Sensor and data fusion adaptive fusion multimodal fusion multiple classifier fusion computer vision robotics medical imaging Today many technical systems are equipped with multiple sensors and information sources, like cameras, ultrasound sensors or web data bases. It is no problem to generate an exorbitantly large amount of data, but it is mostly unsolved how to take advantage of the expectation that the collected data provide more information than the sum of its parts. The design and analysis of algorithms for sensor data and information acquisition and fusion as well as the usage in a differentiated application field was the major focus of the Seminar held in the International Conference and Research Center (IBFI), Schloss Dagstuhl. 24 researchers, practitioners, and application experts from different areas met to summarize the current state-of-the-art technology in data and information fusion, to discuss current research problems in fusion, and to envision future demands of this challenging research field. The considered application scenarios for data and information fusion were in the fields of computer vision and medicine. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Joachim Denzler and Joachim Hornegger and Josef Kittler and Calvin R. Maurer JR. 2007 Is Part Of Dagstuhl Seminar Proceedings, Volume 6311, Sensor Data and Information Fusion in Computer Vision and Medicine (2007) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/DagSemProc.06311.2 urn:nbn:de:0030-drops-8542 https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.06311.2 eng https://creativecommons.org/licenses/by/4.0/legalcode