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Orion is a multi-disciplinary
team at the frontier of computer vision, knowledge-based systems, and software
engineering. The objective of Orion is to design and develop technics and
software aimed at on the one hand, automatic image interpretation and
on the other hand, program supervision and
reuse.
Research themes
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This objective is pursued by developing knowledge expression languages,
as well as learning mechanisms and reasoning mechanisms for this knowledge,
dedicated to specific classes of problems.
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Orion focuses on the study of the knowledge involved in both classes of
problems addressed:
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knowledge on objects and scenarii to recognize for automatic image interpretation,
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knowledge on programs and on their use for automatic program supervision.
We principaly study hybrid knowledge representation techniques (frame and
rule based), and planning techniques. Symbolic learning is also a concern
for knowledge base refinement.
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The main application domain of Orion is computer vision. In a long term,
we intend to apply our methods and techniques to other domains (signal
processing or scientific computation).
