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Can someone please suggest a good seminar for OO training?
Thanks
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Ermmm no, dont post your question there!
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Hello 
If anyone know, how I can send message eg: "Sell Items", to game: Metin2, when game is minimized?
WIW - What I Want:
1. Click "Y"
2. Write "Sell items"
3. Click Enter
4. Click Mouse on position X, Y
I try with Sendmessage, but it work me only on activate window. When i minimize game, my program don't work. ;(
Please Examples.  )
Thanks, and sorry for my english.
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Please help! 
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hello
i am doing face detection project without buit-in libraries.
so i got the idea that whole face is an ellipse and further eyes and mouth are ellipse as well. if i detect ellipse in bitmap file, so then i can detect face in live video.
i have googled for this as well, but didn't get success.
please help me that how can i detect that the picture contains ellipse.
or any other suggestion about face detection will be appreciated.
thank you very much.
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Hi Dave, you score 1212, that is 3 * 404.
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I know, damn copy and paste..........should be fixed now.
[edit: deleted some mads, have calmed down now  Note to self, use preview more before submit, been caught out by bad c+p too often....]
Dave
Find Me On: Web| Facebook| Twitter| LinkedIn
CPRepWatcher now available as Packaged Chrome Extension, visit my articles for link.
modified on Tuesday, October 26, 2010 4:04 PM
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thank you for help and i saw your suggested links
but Motion detection and ellipse detection are two different things.
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inayathussaintoori wrote: i am doing face detection project without buit-in libraries
I don't think you are doing that at all; from your question it seems you just hope to do so.
Detecting ellipses can be easy or very hard, depending on circumstances. A specialized Hough transform probably is your best bet. See here[^].
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sir if you won't help me so it will remain just a hope
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Guy, you have a serious problem. Noone is gonig to spoon-feed you this stuff. You said it yourself, you can't understand the math that's behind these algorithms. Without that kind of understanding, you have no hope of writing your own library, so you're forced to use someone elses.
Noone is going to walk you through a couple of Calculus classes so you can understand this stuff.
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The Hough Transform suggested by Luc will work, but in this situation a quick and dirty approach may be easier:
1. We can assume the face color is (generally) different than the background. Find a threshold on your sample images that seems to separate the face/background the best.
2. Use this threshold to create a binary image (1 = face, 0 = background).
3. Do a morphological closing (http://homepages.inf.ed.ac.uk/rbf/HIPR2/close.htm[^]) on the binary image to close gaps (eyes, mouth, etc).
The closing is a dilation followed by an erosion. These sound more complicated than they are, and are explained in the link. They're just a set of Boolean operations on the image, and can be implemented entirely with ANDing or ORing the image with an offset copy of itself.
4. Do a morphological opening on the image to eliminate stray background pixels that are 1's.
5. You should have a convex blob in the face area. You can then trace the outline programmatically to find the bounds.
6. The outline should give you the general regions to look for other facial features in the original image.
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Hi all
I am doing face detection project. i googled a lot and there are many face detection algorithms available, and i studied many of the algorithms but there is very confusable math and statistic (like integration etc) which i tried a lot to understand but fail. and i don't understand that what is in fact the algorithm saying.
I know C# and i can implement skin detection, edge detection, image invert etc.
if some one will tell me step by step process i will be very thankful.
thanks
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I'm sorry, but this is a very complex topic with companies spending millions developing commercial level detection algorithms. If you can't understand the maths, you aren't going to be able to understand how the code works - it's impossible to disentangle the maths from the code - so you aren't going to get the code written for you here.
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public interface IFaceDetection{
bool DoesImageContainFace(Image image);
Rectangle[] GetBoundingBoxesForFaces(Image image);
bool IsFaceCelebrity(Image image, Rectangle rectangle);
}
The rest is just trivial implementation details. Why must you be so harsh?
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sir i have implemented face detection and recognition by OpenCV. but i don't want to use any library.
i want to detect face in live video without built in libraries.
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Wow, you don't want much.
It is the thing that the secret services would like.
They have billions, what is your budget?
------------------------------------
I will never again mention that I was the poster of the One Millionth Lounge Post, nor that it was complete drivel. Dalek Dave
CCC League Table Link
CCC Link[ ^]
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Did you even read my reply?
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yes i read your reply but i still think i can do it if i get some help.
i am not discouraged.
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Use the built-in libraries.
Hand-rolling your own will be more complicated than you can handle, especially given you have stated the calculus required is too hard.
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You are seriously telling me that in all your mad googling you didnt come across this article post here on the CP?[^] ..... your google skills are weak dude 
Don't comment your code - it was hard to write, it should be hard to read!
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yes i have seen this article but he has used built in library as well. that bilt in library is AForge.net.
and the main thing has been done by this library.
i would suggest that person to use EmguCV inplace of AForge.net.
so he could detect face in very few lines of code.
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