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

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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