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2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (2008)
Anchorage, AK, USA
June 23, 2008 to June 28, 2008
ISBN: 978-1-4244-2339-2
pp: 1-6
Stefan Soutschek , Pattern Recognition, Department of Computer Science, University of Erlangen-Nuremberg, Germany
Jochen Penne , Pattern Recognition, Department of Computer Science, University of Erlangen-Nuremberg, Germany
Joachim Hornegger , Pattern Recognition, Department of Computer Science, University of Erlangen-Nuremberg, Germany
Johannes Kornhuber , Department of Psychiatry and Psychotherapy, University of Erlangen-Nuremberg, Germany
ABSTRACT
For a lot of applications, and particularly for medical intra-operative applications, the exploration of and navigation through 3-D image data provided by sensors like ToF (Time-of-Flight) cameras, MUSTOF (Multisensor-Time-of-Flight) endoscopes or CT (Computed Tomography) [8], requires a user-interface which avoids physical interaction with an input device. Thus, we process a touchless user-interface based on gestures classified by the data provided by a ToF camera. Reasonable and necessary user interactions are described. For those interactions a suitable set of gestures is introduced. A user-interface is then proposed, which interprets the current gesture and performs the assigned functionality. For evaluating the quality of the developed user-interface we considered the aspects of classification rate, real-time applicability, usability, intuitiveness and training time. The results of our evaluation show that our system, which provides a classification rate of 94.3% at a framerate of 11 frames per second, satisfactorily addresses all these quality requirements.
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CITATION
Stefan Soutschek, Jochen Penne, Joachim Hornegger, Johannes Kornhuber, "3-D gesture-based scene navigation in medical imaging applications using Time-of-Flight cameras", 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, vol. 00, no. , pp. 1-6, 2008, doi:10.1109/CVPRW.2008.4563162
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