Research report 2013 - Max Planck Institute for Intelligent Systems, Tübingen site

Perceiving Systems – Computers that see

Authors
Gehler, Peter Vincent
Departments

Perzeptive Systeme

Summary
Our research goal is to define in a mathematical precise way how visual perception works. We want to describe how intelligent systems understand images. To this end we study probabilistic models and statistical learning. Encoding prior knowledge about the world is complemented with automatic learning from training data. One aspect is being able to identify physical factors in images, such as lighting, geometry, and materials. Furthermore we want to automatically recognize and give names to objects and persons in images and understand the scene as a whole. 

For the full text, see the German version.

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