Published August 1996
| Published
Book Section - Chapter
Open
Visual input for pen-based computers
- Creators
-
Munich, Mario E.
-
Perona, Pietro
Chicago
An error occurred while generating the citation.
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.
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.Attached Files
Published - Munich_CVPR_1996.pdf
Files
Munich_CVPR_1996.pdf
Files
(652.7 kB)
| Name | Size | Download all |
|---|---|---|
|
md5:2e2f88dd4d7eeafb0d119648e304f73f
|
652.7 kB | Preview Download |
Additional details
- Eprint ID
- 47644
- Resolver ID
- CaltechAUTHORS:20140730-101723057
- NSF
- California Trade and Commerce Agency, Office of Strategic Technology
- Center for Neuromorphic Systems Engineering, Caltech
- Created
-
2014-08-04Created from EPrint's datestamp field
- Updated
-
2021-11-10Created from EPrint's last_modified field