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Sketching in Air: A Single Stroke Classification Framework

[+] Author Affiliations
Sree Shankar Satheesh Babu, Prakhar Jaiswal, Ehsan T. Esfahani, Rahul Rai

University at Buffalo, Buffalo, NY

Paper No. DETC2014-34065, pp. V02AT03A005; 10 pages
doi:10.1115/DETC2014-34065
From:
  • ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 2A: 40th Design Automation Conference
  • Buffalo, New York, USA, August 17–20, 2014
  • Conference Sponsors: Design Engineering Division, Computers and Information in Engineering Division
  • ISBN: 978-0-7918-4631-5
  • Copyright © 2014 by ASME

abstract

We describe a trainable, hand drawn, single stroke 3D sketch–based classification system, using a motion detecting depth sense camera. Our system captures data from a user, who is free to sketch any desired shape in a 3D environment. The overall system is based on a set of previously defined and well developed classifiers, which are, the Rubine Classifier, $1 recognizer and the Image based classifier. The novelty of this paper comes from 1) the classification of sketches drawn in a 3D environment; 2) extending the pixel based image representation to a voxel–based scheme; and 3) combining the results from individual classifiers using a sensitivity matrix. To evaluate the performance of the system, user studies were performed. To validate the significance of results obtained from the user studies, we performed a t–test. Our system outperforms the individual classifiers and is able to achieve an average overall accuracy of 93+%.

Copyright © 2014 by ASME
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