BertramDrost

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

Me Dipl. Math. Bertram Drost
E-Mail:
Phone: 089/457 695 0
Address: MVTec Software GmbH
Neherstraße 1
81675 München
Germany
Room: MI 03.13.036

Research projects

Rigid 3D Object Detection

Rigid 3D Object Detection

Object detection and localization is a crucial step for inspection and manipulation tasks in robotic and industrial applications. We present an object detection and localization scheme for 3D objects that combines intensity and depth data. A novel multimodal, scale- and rotation-invariant feature is used to simultaneously describe the object's silhouette and surface appearance. The object's position is determined by matching scene and model features via a Hough-like local voting scheme. The proposed method is quantitatively and qualitatively evaluated on a large number of real sequences, proving that it is generic and highly robust to occlusions and clutter. Comparisons with state of the art methods demonstrate comparable results and higher robustness with respect to occlusions.

Publications

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Research

I'm working towards my Ph.D. on the subject of rigid and non-rigid 3D object detection for industrial applications under the supervision of Dr. Slobodan Ilic. My work is funded by MVTec Software GmbH in Munich. My research interests include
  • Rigid and non-rigid 3D object detection in point clouds
  • Advanced methods for Hough Transform
  • Object detection in multimodal data
  • Real-Time computer and machine vision algorithms

This video shows an application of our CVPR 2010 approach for rigid 3D object detection. The robot uses a stereo system to acquire a 3D scan of the scene and detects the object of interest within this scene.


http://www.youtube.com/watch?v=mjfAD5YimUw

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Firstname: Bertram
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Lastname: Drost
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Nationality: Germany
Languages: English, German
Groups: Computer Vision
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Position: External Phd
Status: Active
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Emailafter: in.tum.de
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