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

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B. Diotte, C. Cagniart, S. Ilic
Markerless Motion Capture in the Operating Room.
Technical Report, Technische Universität München, München, Germany, Mai 2011 (bib)

The Goal of this IDP was to extend the patch-based surface tracking algorithm proposed by Cagniart et al., to a skeleton based solution. Such a solution could be used to track surgeons in an operating room and enhance humanmachine interaction paradigms in this context. We implemented a model-based motion capture algorithm based on 3D point cloud data. An Expectation-Maximisation algorithm computes the point cloud/body parts assignment and the pose estimation is based on an Inverse Kinematics framework. This final report includes a brief introduction on the topic of motion capture, a discussion of the related works, a description of the method and its implementation, and concludes with some appreciation of the results.
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