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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 International Conference on Image Processing, 1996. IEEE , Piscataway, NJ, pp. 173-176. ISBN 0-7803-3259-8.

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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
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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.
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Center for Neuromorphic Systems Engineering, CaltechUNSPECIFIED
California Trade and Commerce Agency, Office of Strategic TechnologyUNSPECIFIED
Record Number:CaltechAUTHORS:20161012-131102098
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:71021
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Deposited On:14 Oct 2016 22:21
Last Modified:11 Nov 2021 04:38

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