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Visual input for pen-based computers

Munich, Mario E. and Perona, Pietro (1996) Visual input for pen-based computers. In: Proceedings of the 13th International Conference on Pattern Recognition, 1996. Vol.3. IEEE , Piscataway, NJ, pp. 33-37. ISBN 0-8186-7282-X.

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Handwriting may be captured using a video camera, rather than the customary pressure-sensitive tablet. This paper presents a simple system based on correlation and recursive prediction methods that can track the tip of the pen in real time with sufficient spatio-temporal resolution and accuracy to enable handwritten character recognition. The system is tested on a large and heterogeneous set of examples and its performance is compared to that of three human operators and a commercial high-resolution pressure-sensitive tablet.

Item Type:Book Section
Related URLs:
URLURL TypeDescription
Munich, Mario E.0000-0002-6665-7473
Perona, Pietro0000-0002-7583-5809
Additional Information:© 1996 IEEE. This work is supported in part by the Center for Neuromorphic Systems Engineering as a part of the National Science Foundation Engineering Research Center Program; and by the California Trade and Commerce Agency, Office of Strategic Technology. We wish to thank all the persons that helped us throughout this work, in especially Jean-Yves Bouguet (who wrote many words for us), Stefano Soatto, and Luis Goncalves for the very useful discussions.
Funding AgencyGrant Number
California Trade and Commerce Agency, Office of Strategic TechnologyUNSPECIFIED
Center for Neuromorphic Systems Engineering, CaltechUNSPECIFIED
Subject Keywords:active vision, computer vision, handwriting recognition, optical character recognition, Systems and applications, Active and real-time vision, Handwriting acquisition
Record Number:CaltechAUTHORS:20140730-101723057
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:47644
Deposited By: Caroline Murphy
Deposited On:04 Aug 2014 21:35
Last Modified:10 Nov 2021 17:48

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