Tuesday, August 24th, 2010, 534 days ago
Hand gesture recognition for HCI
First we gather a data set of all the hand-shapes we wish to recognise. A naive approach to recognizing a new image D would be to simply compare it with all the images stored in the data set and find the target image T with the closest match. But because there are so many images in the data set this will take far too long. We can reduce the time by using a multi-scale approach. We divide up the data set into groups of images, which are similar to one another by blurring the images at different levels so that small differences between similar images will be eroded.
More information please refer here http://www.ercim.eu/publication/Ercim_News/enw46/shamaie.html
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Hello,
Really a great work!
can you share the code please or send it bymail
Thank you
hello,
I want to capture gesture from webcam and compare it with images of gesture stored in data set.
Please can you provide me the source code…….
Sir, Please help me……….
@Rahul
sorry currently i have not done this comparison work because my work concentrates on extraction and detection without databases.
cheers
Its like you read my thoughts! You seem to know a lot about this, like you wrote the book in it or something. I feel that you simply can do with some percent to pressure the message house a little bit, but other than that, this is excellent blog. An excellent read. I will certainly be back.
@Body Language Signs
cheers
hi andol, i m working on this project. actualy my task is made a set of gestures for video game like car racing. in wich there will be 4 gestuer initially like for start, stop, right,left. so plz share your work with me it will be easy for me then. because i m the beginer to these kind of stuff. and its final year engineering project.
hi am doing my Final Year Project in B.Tech(IT) regarding HCI and Hand Gestures, it would be helpful if u share the code, for me to contribute to your work and develop my Engineering Project. Pl help.