InvitedTalkSchiele2012

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

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Invited Talk by Bernt Schiele

Bernt Schiele

  • Date: Wednesday, March 14, 2012
  • Time: 13:00-14:00
  • Location: 00.13.009A

3D Scene Understanding - It's Time to Address it Again

Abstract:

Abstract: Inspired by the ability of humans to interpret and understand 3D scenes nearly effortlessly, the problem of 3D scene understanding has long been advocated as the 'holy grail' of computer vision. In the early days this problem was addressed in a bottom-up fashion without enabling satisfactory or reliable results for scenes of realistic complexity. In recent years there has been considerable progress on many sub-problems of the overall 3D scene understanding problem. As the performance for these sub-tasks starts to achieve remarkable performance levels we believe that the problem to automatically infer and understand 3D scenes from should be addressed again.

In this talk we will - on the one hand - highlight progress on some essential components of scene understanding such as object class recognition and detection or articulated pose estimation and tracking. On the other hand we will also report on our current attempt towards 3D scene understanding in the particular case of traffic scene analysis.

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Title: 3D Scene Understanding - It's Time to Address it Again
Date: 14 March 2012
Location:  
Abstract: Inspired by the ability of humans to interpret and understand 3D scenes nearly effortlessly, the problem of 3D scene understanding has long been advocated as the 'holy grail' of computer vision. In the early days this problem was addressed in a bottom-up fashion without enabling satisfactory or reliable results for scenes of realistic complexity. In recent years there has been considerable progress on many sub-problems of the overall 3D scene understanding problem. As the performance for these sub-tasks starts to achieve remarkable performance levels we believe that the problem to automatically infer and understand 3D scenes from should be addressed again.
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Type: News
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