3-D gesture-based scene navigation in medical imaging applications using Time-of-Flight cameras

Soutschek S, Penne J, Hornegger J, Kornhuber J (2008)


Publication Type: Conference contribution, Conference Contribution

Publication year: 2008

Original Authors: Soutschek S., Penne J., Hornegger J., Kornhuber J.

Book Volume: null

Pages Range: -

Event location: Anchorage, AK

Journal Issue: null

DOI: 10.1109/CVPRW.2008.4563162

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 userinterface 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 lime. 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. © 2008 IEEE.

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How to cite

APA:

Soutschek, S., Penne, J., Hornegger, J., & Kornhuber, J. (2008). 3-D gesture-based scene navigation in medical imaging applications using Time-of-Flight cameras. In Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops (pp. -). Anchorage, AK.

MLA:

Soutschek, Stefan, et al. "3-D gesture-based scene navigation in medical imaging applications using Time-of-Flight cameras." Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops, Anchorage, AK 2008. -.

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