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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 . http://resolver.caltech.edu/CaltechAUTHORS:20161012-131102098

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Abstract

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
http://dx.doi.org/10.1109/ICIP.1996.560630DOIArticle
http://ieeexplore.ieee.org/document/560630/PublisherArticle
ORCID:
AuthorORCID
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.
Funders:
Funding AgencyGrant Number
Center for Neuromorphic Systems Engineering, CaltechUNSPECIFIED
NSFUNSPECIFIED
California Trade and Commerce Agency, Office of Strategic TechnologyUNSPECIFIED
Record Number:CaltechAUTHORS:20161012-131102098
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20161012-131102098
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ID Code:71021
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Deposited On:14 Oct 2016 22:21
Last Modified:28 Mar 2017 16:18

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