06311 Executive Summary – Sensor Data and Information Fusion in Computer Vision and Medicine

Abstract

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.