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● Home
Process Overview
● Introduction
● What is PCA?
● Previous Research
Implementation
● Training Phase
● Coefficients Phase
● Recognition Phase
Other
● Downloads
● Research Paper
● Credits
● Contact Me
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Welcome to the home of
RASLUPCA! That's a big unpronounceable acronym for "Recognizing American Sign Language Letters Using Principal Component Analysis." Whew! This is an (almost) open source project that attempts to apply popular PCA research methods from the late 80s to recognizing images of sign language letters. The project was started by Art Geigel in 2004 who was a senior undergrad at Hiram College in Hiram, Ohio. The project was a required component to a Computer Vision class taught by Ellen Walker. This site contains information covering everything from what PCA is, to an actual implementation. Source code and an accompanying journalistic paper are available for download.
(Updated: February 3, 2007) |
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Legal shiz and other things...
Omniasoft WebDev, Inc. © Copyright 2005. All rights reserved graphics and some source code. Some of the source code was written by people other than myself, so I don't know what type of claim to rights they have but no claim is made here. Source code I have written may be downloaded, modified, and redistributed freely for any reason whatsoever, as long as my name "Art Geigel" is clearly accompanying the code and the URL to this website shows up. My code is not provided under the GNU license so however you want to use the code you can feel free to (except for source that is clearly stated that is not mine). If you do use the code, or if you use some of my research, I'd appreciate an email at art@geigel.com but even that is up to you. Have fun and enjoy! And while you're reading this you should visit www.groundbooth.com!