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Probabilistic Design Miming

[+] Author Affiliations
Arpan Mukherjee, Yunbo Zhang, Rahul Rai

University at Buffalo-SUNY, Buffalo, NY

Paper No. DETC2014-34063, pp. V007T07A011; 13 pages
  • ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 7: 2nd Biennial International Conference on Dynamics for Design; 26th International Conference on Design Theory and Methodology
  • Buffalo, New York, USA, August 17–20, 2014
  • Conference Sponsors: Design Engineering Division, Computers and Information in Engineering Division
  • ISBN: 978-0-7918-4640-7
  • Copyright © 2014 by ASME


Design miming is a process through which a person gesticulates (move hands) to describe a real-world physical object. The core idea of this paper is to present an efficient 3D shape synthesis system and interface that can identify and display the most relevant objects based on the movements of hands. In order to implement such a system three key things are needed. First, a moderately sized 3D shape repository from where the system can find good shape matches. Second, it requires a computational tool that can convert the gestures of a user to provide input to a display interface. Third, it requires the design of an interface where synthesized 3D shapes/models could be displayed. Large databases of 3D shapes exist in online shape repositories such as Google 3D warehouse and Turbosquid, which we reuse. We focus on the second and third components of the system. Specifically, we develop a probabilistic graphical model based 3D shape synthesis approach for structure recovery from a highly noisy 3D scan of a user’s hand movements. Such a system should be real time and it imposes a computational method to have reduced time and memory complexity. We term this technique Probabilistic Design Miming (PDM) and show the utility of this technique in multiple usage scenarios.

Copyright © 2014 by ASME
Topics: Design



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