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Welcome to my page at the Intelligent Autonomous Systems Group. I am a doctoral student working towards my thesis under the supervision of Prof. Radig.

Current work: Since 07/2009, I am responsible for the integration and further development of the Multi-Joint Vision (MuJoVision) project, which is part of the cluster of excellence for Cognition in Technical Systems (CoTeSys). The project aims at obtaining and processing image data in real-time from a large set of cameras simultaneously to facilitate human-robot interaction within a surveyed area, using Computer Vision techniques to extract information about humans and objects within the surveyed scene, examples including person tracking and gesture recognition.

Further research: Other research interests are located within the field of Human-Computer Interaction (HCI). Particular interest is the interpretation of human visual communication channels such as Facial Expression Recognition and Gesture Recognition.

Bio: I recieved a Diploma - Dipl.-Inf. (Univ.) - degree from TU München in 06/2009. My diploma thesis topic was "Cross-Database Facial Expression Classification Using Three-Dimensional Geometrically Deformable Models".

Where to find me: My office is at the CoTeSys Central Robotics Laboratory (CCRL) which is located in Barer Str. 21, 4th Floor in downtown munich, near the TU München central complex.

Research Topics

  • Model-Based Image Interpretation
  • Face Detection, Face Model Fitting, Head Tracking
  • Facial Expression Recognition, Emotion Recognition
  • Human Motion Capture, Tracking and Analysis
  • Real Time Systems

Current Research Projects

  • MuJoVision : The Multi-Joint Vision project aims at providing image data obtained simultaneously from a large number of cameras in real time for further processing in Computer Vision applications. It involves the integration of a flexibly expandable architecture and interface for distributed Computer Vision applications. The project is part of a Multi-Joint Action scenario developed for the CoTeSys cluster of excellence, and the data obtained is used to generate tracking information for Human-Computer Interaction and monitoring tasks.

Former Research Projects

  • Face Image Analysis : As robots emerge from their classical domain - factories - to be included in every day life, they need to gain new abilities besides those needed in manufacturing. They need not only to support humans, but also be able to socialize with their users to enhance the interactant experience and allow for social bonding. Recent progress in the field of Computer Vision allows intuitive interaction via gesture or facial expressions between humans and technical systems. Recent research aims at enabling machines to utilize communication channels natural to human beings, such as gesture or facial expressions. Humans interpret emotion from video and audio information and heavily rely on this information during every-day communication. Therefore, knowledge about human behavior, intention, and emotion is necessary to construct convenient human-machine interaction mechanisms. The human face provides much of the information that is passed between humans in every-day communication. Although most of this information is passed on a subconscious level, we still rely on the interaction partner's facial expression to determine emotional state or attention to form a prediction of his or her reaction.

Teaching General

My offered student theses (on SiROP):
Running Theses:

Completed Theses:

 

Additionally, I am generally open to suggestions on other topics for Bachelor / Master / Diploma theses within my fields of research, as described above. If you have a suitable topic idea and are interested in my supervision, you're always welcome to contact me.

Selected Publications

For the full list of my Publications please see the Publications section.

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